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Full-Text Articles in Physical Sciences and Mathematics

Simulation Method Of Electromechanical Coupling Of Slot Antenna Based On Mesh Transmission, Wang Yong, Ren Dan, Dandan Wang, Xuexiao Zheng Jan 2019

Simulation Method Of Electromechanical Coupling Of Slot Antenna Based On Mesh Transmission, Wang Yong, Ren Dan, Dandan Wang, Xuexiao Zheng

Journal of System Simulation

Abstract: Electromechanical coupling involves mechanical and electromagnetic interaction, and data transfer between different physical fields is the key to the electromechanical coupling simulation. An efficient and accurate method based on mesh transmission to analyze the electromechanical coupling of slot antenna is presented. Force analysis of antenna is achieved by ANSYS and the interface program is written by APDL language. The deformed mesh generated by force analysis is obtained and outputted to hypermesh software to extract the deformed mesh surface. The surface mesh is imported into the electromagnetic field analysis software FEKO to calculate the electromagnetic performance of the antenna. The …


Analysis Of Uas Avoidance Warning Criteria Based On "Τ-Τ", Zhiwei Zhang, Jianwu Tao, Shao Xiao Jan 2019

Analysis Of Uas Avoidance Warning Criteria Based On "Τ-Τ", Zhiwei Zhang, Jianwu Tao, Shao Xiao

Journal of System Simulation

Abstract: In the process of UAV avoiding obstacles, the tau warning logic based on time is introduced. Based on the tau warning logic, the τ-τ warning logic is proposed, and the equal τ-τ warning curve is constructed. According to the range of maneuver of the own UAV, three warning areas are defined, including high-risk area, low-risk area and non-risk area. Aiming at the two planes in the case of parallel encounter and vertical encounter, in accordance with three different situations of the UAV’s speed greater than, equal to and less than the intruder’s speed, the method simulates the warning …


Design And Implementation Of Human-Computer Interactive System For Public Information Service In Smart City, Han Feng, Xiaoling Li, Xiuwen Sun, Lingyu Ji Jan 2019

Design And Implementation Of Human-Computer Interactive System For Public Information Service In Smart City, Han Feng, Xiaoling Li, Xiuwen Sun, Lingyu Ji

Journal of System Simulation

Abstract: In view of the singleness on the interactive contents and forms of public information services in Smart City, we design and implement a human-computer interactive system. We analyze both user behavior characteristics as self-portrait effect, landing effect, honeypot effect and Smart City application design characteristics as socialization, intellectualization and humanization. Regarding these characteristics, we specify the interactive contents and the corresponding interactive forms and design the UI features for improving user experience. We research on the technologies involved in the implementation of the system, including gesture recognition based on segments, face recognition and resource integration using WPF, besides, holographic …


Evaluation On Pilot Performance Of Detecting Runway Incursion Based On Visual Simulation, Kun Yang, Xiangyu Ge, Pengfei Ju, Bai Jie Jan 2019

Evaluation On Pilot Performance Of Detecting Runway Incursion Based On Visual Simulation, Kun Yang, Xiangyu Ge, Pengfei Ju, Bai Jie

Journal of System Simulation

Abstract: In order to evaluate the performance of pilots using HUD and PFD to detect runway incursion under approach and landing circumstances, a visual simulation system for transport category airplanes is designed by visual simulation technology. The system includes models of head up display (HUD), primary flight display (PFD), cockpit of transport category airplanes, 3-D terrain of airport. And a program is written to read flight joystick data to control flight. On this visual simulation system, performance experiment of pilots using HUD and PFD to detect runway incursion is carried out. Analysis results show that the response time of …


Human Action Recognition Based On Depth Image, Tang Chao, Miaohui Zhang, Li Wei, Cao Feng, Xiaofeng Wang, Xiaohong Tong Jan 2019

Human Action Recognition Based On Depth Image, Tang Chao, Miaohui Zhang, Li Wei, Cao Feng, Xiaofeng Wang, Xiaohong Tong

Journal of System Simulation

Abstract: Because of the complexity and non-rigidity of human actions, traditional human action recognition based on RGB video data is a very challenging research topic. According to some deficiencies of existing recognition method based on RGB video data, a novel human action recognition method is proposed based on depth image data. In this new method, the block mean feature in the depth difference motion historical image is fused with the Gabor feature as mixed features and then a rotation forest algorithm is used to model. The experimental results show that the proposed method is simple, fast and efficient compared …


Design And Research On Mechanism Model Of Cyclone, Zhang Yue, Han Pu Jan 2019

Design And Research On Mechanism Model Of Cyclone, Zhang Yue, Han Pu

Journal of System Simulation

Abstract: The operating characteristics of the cyclone separator greatly affect the overall operating efficiency of the boiler, the gas-solid two-phase flow in the cyclone separator is complicated by the vortex flow. The mathematical model of different angles has been too complicated or one-sided to show its running mechanism. A mechanism model of the internal parameters of a cone assembly and a counter current cyclone separator has been established. The three cutting diameter calculation methods have been compared for grade separation efficiency. The pressure drop has been combined with the pressure drop of the subdivision of the system structure, and the …


Evaluation Model On The Vulnerability Of Mining Area Ecosystem Based On Object-Function Petri Net, Su Jia, Guangqiu Huang Jan 2019

Evaluation Model On The Vulnerability Of Mining Area Ecosystem Based On Object-Function Petri Net, Su Jia, Guangqiu Huang

Journal of System Simulation

Abstract: Introducing the concept of function into traditional object Petri net, a new evaluation model of ecosystem vulnerability named object-function Petri net model (OFPNEM) was put forward. The facilitating and suppressing factors of the ecosystem degradation were analyzed in this evaluation model. Trigger conditions of vulnerability were depicted as transitions and the state of ecosystem in the process of change were depicted as object places. Logical causality of environmental degradation could be represented directly. Furthermore, evaluation model on the vulnerability of mining area ecosystem based on object-function Petri net was proposed. Through object-function Petri net, combining the rules of model, …


Simulation Of Transient Temperature Field Of Current-Carrying Sliding Friction Pair, Fengyi Guo, Hongxin Gao, Liu Shuai, Zhiyong Wang, Zhang Kai, Aijun Wang Jan 2019

Simulation Of Transient Temperature Field Of Current-Carrying Sliding Friction Pair, Fengyi Guo, Hongxin Gao, Liu Shuai, Zhiyong Wang, Zhang Kai, Aijun Wang

Journal of System Simulation

Abstract: The transient temperature rise of pantograph and catenary system could affect material properties of the friction pair, which accelerates the wear of system. In order to reduce the wear caused by temperature, transient temperature and distribution of copper/copper-carbon friction pair are studied. A simulation model is established by using COMSOL Multiphysics software. Model effectiveness is verified with temperature experiments. The transient process of temperature field is studied by simulation. The results show that the temperature rise of carbon plate has small cyclical peaks. The highest temperature appears on the contact region in the initial stage of running. Temperature gradient …


Design And Study Of Forest Fire Forecasting Based On Pso And Ga-Bp Neural Network, Shuhua Bai, Mingxing Kuang Jan 2019

Design And Study Of Forest Fire Forecasting Based On Pso And Ga-Bp Neural Network, Shuhua Bai, Mingxing Kuang

Journal of System Simulation

Abstract: This paper collects the 2013-2015 meteorological data of four stations (Nanchang, Jingdezhen, Gi’an, Ganzhou) in Jiangxi province, and the corresponding forest fire danger grading, to establish a neural network fire prediction model. Corresponding network model is built respectively by adopting the genetic algorithm, particle swarm optimization (PSO) algorithm and particle swarm genetic hybrid algorithm to optimize the BP neural network. By comparing the prediction results of BP network, GA-BP network, PSO-BP network and PSO-GA-BP network with the experiments data, it shows that the PSO-GA-BP network prediction model is of higher accuracy, the PSO and GA enjoy the best …


Research On Numerical Simulation Of Continuous Roll Forming Process Of Four-Roll Plate Bending Machines, Wang Yan, Xinqing Zhu, Jiefei Hu, Ximin Cui Jan 2019

Research On Numerical Simulation Of Continuous Roll Forming Process Of Four-Roll Plate Bending Machines, Wang Yan, Xinqing Zhu, Jiefei Hu, Ximin Cui

Journal of System Simulation

Abstract: In order to improve the production process quality of four-roll plate bending machines, a four-roll bending mathematical model is established and a finite element simulation is used to verify its accuracy. The influence of side roller displacement, sheet thickness, and rotational speed on the radius and quality of the final shaped plate are analyzed. The simulation results show that as the displacement of side roll increases, the downtrend of the sheet forming radius gradually slows down and the quality of the formed sheet also decreases. Plastic strain fluctuation on plate surface decreases as the thickness increases, quality of thick …


Numerical Simulation Analysis Of The Effects Of Flight Angle And Bend-Fold On Bird-Like Flapping-Wing Air Vehicle, Yonggang Yang, Hanping Su, Xindong Gu, Yanqing Chen Jan 2019

Numerical Simulation Analysis Of The Effects Of Flight Angle And Bend-Fold On Bird-Like Flapping-Wing Air Vehicle, Yonggang Yang, Hanping Su, Xindong Gu, Yanqing Chen

Journal of System Simulation

Abstract: Aiming at the multi-parameter coupling problems of flapping-wing flight of birds, a 3D model of bird-like flapping-wing air vehicle (FAV) is established based on overall dimensions of bird. A multi-degree-of-freedom motion model of “swing-torsion-bending and folding” is built. The XFlow is used to analyze the effects of flight angle and flapping-wing bending-folding. Research results show that peak values of lift coefficient and drag coefficient change with different flight angles; at the zero flight angle, minimum mean drag coefficient and maximum lift-drag ratio will be achieved and avail to level flight. Caused by the bending-folding effect, violent vortex and negative …


Soft-Sensor Method Of Low Pressure Cylinder Exhaust Flow Of Heating Units, Tian Liang, Wang Tong Jan 2019

Soft-Sensor Method Of Low Pressure Cylinder Exhaust Flow Of Heating Units, Tian Liang, Wang Tong

Journal of System Simulation

Abstract: In order to improve the capacity of absorbing the wind power, power grid requests heating units to reduce the power load limit as far as possible. Turbine exhaust steam flow is a main parameter which determines power load limit. By analysing the balance of the mass-energy on vapor flow, and choosing the condensate flow and enthalpy rise of condensate and enthalpy drop of number 6 low pressure heater as auxiliary variables, soft-sensor method of low pressure cylinder exhaust flow is established. Furthermore, number 7 and number 8 extraction pressure and temperature are chosen simultaneously and dynamic low pressure cylinder …


Adaptive Real-Time Tracking Control System For Ammonia Desulphurization, Lixin Ma, Mengyuan Lü Jan 2019

Adaptive Real-Time Tracking Control System For Ammonia Desulphurization, Lixin Ma, Mengyuan Lü

Journal of System Simulation

Abstract: In the ammonia desulphurization system, we can use forecast devices to compensate the delay time of sensor in the process of detection. But the error of the parameters in the mathematical model of the method has a great influence on the performance of the control system. So it is unable to realize the real-time tracking of the load. Concerning this problem, we put forward a kind of real-time tracking control system based on model reference adaptive technology which could be able to track the load—model reference adaptive technology is used in the ammonia desulphurization technology. It breaks the normal …


Research On Fjsp Problem Of Invasive Weed Optimization Based On Hybrid Strategy, Li Ke, Wang Yan, Zhicheng Ji Jan 2019

Research On Fjsp Problem Of Invasive Weed Optimization Based On Hybrid Strategy, Li Ke, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: To solve the flexible job-shop scheduling problem more effectively, an improved invasive weed algorithm was proposed. A random key encoding scheme based on transformed sequences was proposed and an adaptive Gauss mutation operator was introduced to diversity the population in the process of weed breeding. In spatial diffusion stage, the standard deviation of normal distribution based on tangent function was used as seed’s new step size search method. In competition of invasive weed stage, by using the guided search strategy in the bee colony algorithm, the weed was guided to improve its ability to jump out of the …


A Study Of Adaptive Simulated Annealing Particle Swarm Optimization (Asapso) Algorithm For Building Pipe Routing Design, Changtao Wang, Xiaotong Sun, Zhonghua Han, Zhu Yi Jan 2019

A Study Of Adaptive Simulated Annealing Particle Swarm Optimization (Asapso) Algorithm For Building Pipe Routing Design, Changtao Wang, Xiaotong Sun, Zhonghua Han, Zhu Yi

Journal of System Simulation

Abstract: To solve the building pipe routing design problem, a mathematical model was formulated. The length of pipe, the number of bends and the laying area were taken as the comprehensive evaluation indexes. Adaptive Simulated Annealing Particle Swarm Optimization (ASAPSO) algorithm was proposed for optimization. In the ASAPSO algorithm, a self-adaptive parameter adjusting strategy and simulated annealing algorithm adjusting the optimal particle location were introduced to enhance the capacity in escaping from the local optimal. A new population initialization method based on the cost of selection probability was designed at the initial population. The simulation showed that compared with the …


Evasive Maneuvers Against Missiles For Unmanned Combat Aerial Vehicle In Autonomous Air Combat, Xizhong Yang, Jianliang Ai Jan 2019

Evasive Maneuvers Against Missiles For Unmanned Combat Aerial Vehicle In Autonomous Air Combat, Xizhong Yang, Jianliang Ai

Journal of System Simulation

Abstract: For UCAV having the capability to deal with autonomous air combat, the flight dynamics model with the overload input and the 3-dimensional proportional navigation guidance model were established. Based on artificial neural network, an evasive maneuver decision was presented for avoiding incoming missiles. The degrees of freedom for UCAV-missile system were reduced by coordinate transformation, which simplified the complicated model as a non-linear model with relatively small amount of input and a single output. After the neural network samples were generated and trained, evasive results could be directly predicted from the relationship of positions between UCAV and missile …


Simulation Research Of General Cargo Terminal Operation Based On Plant Simulation, Zhixiong Liu, Xiong Yang, Xingxu Deng, Yuting Chen Jan 2019

Simulation Research Of General Cargo Terminal Operation Based On Plant Simulation, Zhixiong Liu, Xiong Yang, Xingxu Deng, Yuting Chen

Journal of System Simulation

Abstract: Combined with the key link of the general cargo loading and unloading operations, the system simulation method is employed to analyze the production efficiency for the general cargo handling operation. The Plant Simulation software is used to design the main modules of the production process such as collection operation, vessel arrival, yard operation, horizontal transportation, ship-loading operation. The simulation model of general cargo handling operation is established based on the whole operation process. The simulation model is running based on the practical production data, and the efficiency of the crane, transitions time and the average storage period are analyzed. …


Gas-Liquid Flow Characteristics Study On The Amino Acid Fermentation Tank, Xiaodong Hu, Qinglei Liu, Fuyu Liu, Dexin Zhang Jan 2019

Gas-Liquid Flow Characteristics Study On The Amino Acid Fermentation Tank, Xiaodong Hu, Qinglei Liu, Fuyu Liu, Dexin Zhang

Journal of System Simulation

Abstract: Based on the Euler - Euler two-fluid model and population balance model, using MRF (multiple reference frame) method, the flow field of the rushton turbine stirred reactor and airfoil axial flow stirred reactor in fermentation tank is analyzed by Fluent. The information of the oxygen content and the size of bubble in the tank is obtained. The simulation results show that the axial flow produced by the airfoil axial flow stirred reactor and the radial flow produced by the rushton turbine stirred reactor interact with each other. The oxygen distribution is relatively uniform. There is an oxygen concentration near …


Think Of The Dynamic Data Driven Application Systems In Simulation: From Physics Domain To Social Domain, Bin Chen, Yiping Wang, Xiaogang Qiu, Liu Liang, Ma Liang Jan 2019

Think Of The Dynamic Data Driven Application Systems In Simulation: From Physics Domain To Social Domain, Bin Chen, Yiping Wang, Xiaogang Qiu, Liu Liang, Ma Liang

Journal of System Simulation

Abstract: Dynamic data driven application systems (DDDAS) is an important part in the intelligent ACP based experimental approach. With the development of information technologies such as big data, intelligent learning, game play theory, the modes of application of DDDAS in simulation cases have changed a lot. In order to meet the requirements of the researches in both physics domain and social domain, the applications of DDDAS in classical cases are summarized. The data assimilation in the two physics cases is illustrated in detail. Then the cases in social domain which is focused by safety science are also discussed. The …


Channel Modeling And Networking Simulation Of Full Duplex Communication, Zhimin Liu, Sun Jie, Jiarui Ding Jan 2019

Channel Modeling And Networking Simulation Of Full Duplex Communication, Zhimin Liu, Sun Jie, Jiarui Ding

Journal of System Simulation

Abstract: Full duplex communication is a new wireless communicating technology for improving the spectrum efficiency substantially. Few researches study full duplex networking technology now nationally and internationally. The architecture and implementation approach of full duplex communication system are introduced to describe the main model and functions of the platform in detail. After analyzing different kinds of self-interference cancellation technology, the self-interference cancellation module and channel model of full duplex system in the platform is built based on C language,which lays a foundation for prospective full duplex networking technology. Simulation results verify the platform’s effectiveness, and present the spectrum efficiency and …


Multi-Algorithm And Multi-Population Co-Optimization Differential Evolution Algorithm, Jinghua Zhang, Han Pu Jan 2019

Multi-Algorithm And Multi-Population Co-Optimization Differential Evolution Algorithm, Jinghua Zhang, Han Pu

Journal of System Simulation

Abstract: Algorithm fusion or co-evolutionary with multi populations are the solutions for complex engineering application. A multi-algorithm and multi-population collaborative optimization algorithm is proposed by differential evolution (DE) algorithm, which pays emphasis on algorithm selection and combination. The algorithm designs a parameter-adaptive DE algorithm and selects three different DE algorithm variants which is complementary for each other and provides a multi-population co-optimization scheme according to four algorithms characters. Stimulation results show that the proposed algorithm could make four different algorithms remedy for each other, gets a better result, and raises the precision, reliability and suitability, which reduces algorithm selection difficulty …


Simulation Of Neighbor Discovery Algorithm In Directional Antenna Ad Hoc Networks Based On Opnet, Li Mo, Zhao Liang Jan 2019

Simulation Of Neighbor Discovery Algorithm In Directional Antenna Ad Hoc Networks Based On Opnet, Li Mo, Zhao Liang

Journal of System Simulation

Abstract: Neighbor discovery problem in directional antenna Ad Hoc networks is studied. A Q-Learning neighbor discovery algorithm is proposed, and a simulation model for directional antenna Ad Hoc networks based on OPNET software is setup. This algorithm makes a decision of transmitting and receiving mode for every neighbor scanning without the information of neighbor position through the Q-Learning mechanism. The reward value is determined according to the current scanning result, and the experiences are learned in order to improve the neighbor discovery efficiency. The simulation model based on OPNET software is constructed using three-layer modeling mechanism. Then the directional antenna …


Design Of Real-Time Digital Baseband Simulator For Spatial Information Networks, Jianfeng Liu, Ma Shang, Zeguo Yang, Lixiang Liu, Jianhao Hu Jan 2019

Design Of Real-Time Digital Baseband Simulator For Spatial Information Networks, Jianfeng Liu, Ma Shang, Zeguo Yang, Lixiang Liu, Jianhao Hu

Journal of System Simulation

Abstract: The commonly used channel simulators always focus on the characteristics of RF signals at the receiver. However, they are costly in real-time simulation for spatial information network with multi-link and dynamic topology change. In this paper, a scalable simulator architecture for spatial information network, a simulation method for dynamic topology and channel propagation characteristics based on baseband data packages are presented. Based on this, a real-time spatial information networks simulation platform is designed and implemented. The platform can simulate the channel propagation delay, bit error, and dynamic topology changes for spatial information network. It supports 16 to …


Neural Network Minimun Parameter Sliding Control Of Blood Pump Based On Heart Rate, Huibo Liu, Liu Mu Jan 2019

Neural Network Minimun Parameter Sliding Control Of Blood Pump Based On Heart Rate, Huibo Liu, Liu Mu

Journal of System Simulation

Abstract: An intelligent algorithm is designed to control the blood pump to assist natural cardiac blood pumping and to meet the needs of blood perfusion. The algorithm combines sliding mode control which does not depend on object model and RBF neural network which has optimal approximation properties to design controller. Minimum parameter learning method is used to design the adaptive law, adjust the weights of neural network. In order to ensure the real time, the speed signal is given by the function of blood flow, blood pump speed and heart rate. Through comparing with PID algorithm, the research shows that: …


Study On Stability Of Bbmc Under Voltage And Current Control Mode, Xiaoping Zhang, Xiaoqiu Li, Wu Zhi Jan 2019

Study On Stability Of Bbmc Under Voltage And Current Control Mode, Xiaoping Zhang, Xiaoqiu Li, Wu Zhi

Journal of System Simulation

Abstract: In the paper, the stability of Buck-Boost matrix converter in voltage/current control mode is studied, and a nonlinear modeling and analysis method on the Buck-Boost matrix converter is proposed. The discrete iterative nonlinear mapping model of the converter is established. The influence of voltage feedback coefficient K1 and current proportional coefficient K2 on system stability is analyzed by sampling the distribution map of output voltage, hence, the stable domain of K1-K2 is determined. The influence on converter stability is verified and analyzed by the time domain waveform, the stroboscopic sampling chart and the …


Anchor Adaptive Movement Algorithm For Mobile Nodes Localization, Zhou Fei, Wennan Liu Jan 2019

Anchor Adaptive Movement Algorithm For Mobile Nodes Localization, Zhou Fei, Wennan Liu

Journal of System Simulation

Abstract: Location awareness is very important in mobile sensor networks. The existing methods mainly focus on the improvement based on the MCL (Monte Carlo Localization), few of them study the anchor path planning. However, anchors random movement usually causes the waste of energy and resource. Aiming at this deficiency, this paper adopts the grid benefit criterion and achieves anchors adaptive movement. Threshold instead of traversal method is used to reduce the amount of calculation and positioning time. In order to solve the anchors aggregation problem during adaptive movement, we divide the target area into four subareas and constrain part of …


Approach For Lithium-Ion Battery Rul Prognostics Based On Cpso-Rvm, Chaolong Zhang, Yigang He, Lifen Yuan Jan 2019

Approach For Lithium-Ion Battery Rul Prognostics Based On Cpso-Rvm, Chaolong Zhang, Yigang He, Lifen Yuan

Journal of System Simulation

Abstract: On account of the measured battery state of health (SOH) data are often subject to different levels of noise pollution, a battery remaining useful life (RUL) prognostics approach is presented based on wavelet denoising and CPSO-RVM in the paper. Wavelet denoising is performed twice with different thresholds in order to weaken the strong noise and remove the weak noise. Relevance vector machine (RVM) improved by chaos particle swarm optimization (CPSO) algorithm is utilized to estimate the trend of battery SOH variation trajectory and predict the battery RUL based on the denoised data. RUL prognostic experiments using battery data provided …


Numerical Simulation On Air Quality In The Boeing 737 Aircraft Cabin, Xiuyan Wang, Gewen Zhang, Yanmin Liu, Zongshuai Li, Jiaquan Lin Jan 2019

Numerical Simulation On Air Quality In The Boeing 737 Aircraft Cabin, Xiuyan Wang, Gewen Zhang, Yanmin Liu, Zongshuai Li, Jiaquan Lin

Journal of System Simulation

Abstract: The air quality in the cabin will directly affect the persons’ efficiency when an aircraft berths. In order to analyze the effect of velocity of air outlet of bridge-load air conditioning on the air quality of aircraft cabin, the first class cabin of Boeing 737 aircraft is used as the research object, based on the CFD method and numerical heat transfer theory, the air quality in aircraft cabin is simulated numerically. Based on PMV and CO2 relative concentration, a new air quality index (IAO) is put forward to evaluate the air quality of aircraft cabin, …


Method Of Missile Salvo Hardware-In-The-Loop Simulation Based On Multi Scattering Center Analog Measurement, Baiting Liu, Xiaolei Wang, Chaolei Wang, Yuhui Tao, Zhaowei Yang Jan 2019

Method Of Missile Salvo Hardware-In-The-Loop Simulation Based On Multi Scattering Center Analog Measurement, Baiting Liu, Xiaolei Wang, Chaolei Wang, Yuhui Tao, Zhaowei Yang

Journal of System Simulation

Abstract: For the verification requirements of the hardware-in-the-loop simulation test of a missile salvo guidance control system, this paper proposes a hardware-in-the-loop simulation test method for anti-aircraft missile based on multi-scattering center simulation to study the simulation method of missile salvo and the control method of multi-scattering center simulation of complex radio frequency target. The hardware-in-the-loop simulation verification test was carried out by constructing a hardware-in-the-loop simulation verification system. The verification test results show that the method can simulate the first missile and the target. The seeker can stably track the multi-scatter target, the target analog signal output maintains high …


Prediction Of Alumina Density Based On Lssvm, Guimei Cui, Haijin Yang, Piliang Liu, Yu Kai Jan 2019

Prediction Of Alumina Density Based On Lssvm, Guimei Cui, Haijin Yang, Piliang Liu, Yu Kai

Journal of System Simulation

Abstract: The prediction model of alumina density based on the PSO algorithm with swarm activity to optimize LSSVM method is built. According to the production process characteristics of aluminum electrolysis and historical data, the input variables of the model is determined. It can solve these problems that Particle Swarm Optimization (PSO) algorithm is with the risk of premature convergence and least square support vector machine is time consuming with parameter selection. The method uses swarm activity as diversity index. When swarm activity is quickened to descend, evolution operation is added to modify the positions or velocities of particles to …