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检索条件"主题词=BP Algorithm"

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Research on Neural Networks Learning algorithm Based on PSO and COA

Research on Neural Networks Learning Algorithm Based on PSO ...

引用

31st Chinese Control Conference

作者： Wang Chen Chen Zengqiang Nankai Univ Dept Automat Tianjin 300071 Peoples R China

ISBN: (纸本)9789881563811

To the shortcoming of bp algorithm that solution is sensitive to initial value and easy to trap in local optima, this paper makes a research on Particle Swarm Optimization (PSO), Chaos Optimization algorithm (COA) and a modified Chaos Particle Swarm Optimization (CPSO) and applies them in neural networks learning problem. The mechanism of algorithms is explored in depth. A novel method of evaluating the degree of gathering for the swarm is proposed. The performance of algorithms is tested and analyzed by simulation and compared with bp algorithm. The results show that as novel neural networks learning algorithms, PSO and CPSO can overcome the defect of bp algorithm whose solution is sensitive to initial value and have the certain application value.

关键词： Neural Networks bp algorithm Particle Swarm optimization Chaos Optimization algorithm Chaos Particle Swarm Optimization Gather Value

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Study of fuzzy controller based on neural-network for PMSM speed adjustment system

Study of fuzzy controller based on neural-network for PMSM s...

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6th World Congress on Intelligent Control and Automation

作者： Wang, Limei Tian, Mingxiu Shenyang Univ Technol Shenyang 110023 Peoples R China

ISBN: (纸本)1424403316

A fuzzy intelligent controller based on bp neural network is proposed in this paper for permanent magnet synchronous motor (PMSM) speed control. The intelligent controller can remember fuzzy rulers by neural network, which has not only the simplicity and the nonlinear control ability of fuzzy control, but also the learning and adaptive functions by using neural network. In the double loop of PMSM speed adjustment system, the hysteresis current regulator is implemented in the current loop and the fuzzy intelligent control scheme is applied in the speed loop. The effectiveness of the proposed controller is verified by simulation. Simulation results show that the proposed controller is superior to the traditional PI controller. It has good dynamic and static characteristics because of its advantage in quick response and good robustness.

关键词： PMSM neural network fuzzy control bp algorithm robustness

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Research on a distinguishing pulse based on an artificial neural network

Research on a distinguishing pulse based on an artificial ne...

引用

2014 International Conference on Artificial Intelligence and Industrial Application (AIIA2014)

作者： T.Y.Zhou C.Zhang L.Ma Y.Q.He School of Computer Software Tianjin University School of Computer Science and Technology Tianjin University School of Electronic Information Engineering Tianjin University

This paper introduces the application of the distinguishing heart pulse based on an artificial neural network. We propose a new method – changing the derivative to increase the speed of the bp algorithm and duplicati... 详细信息

ISBN: (纸本)9781784660529

关键词： pulse signal identification artificial neural network bp algorithm

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Software Design for the Fault Diagnosis System of ATC Based on Neural Networks

Software Design for the Fault Diagnosis System of ATC Based ...

引用

2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

作者： Liansheng Liu Jianfang Zhang Basic Experiment Center Civil Aviation University of China Tianjin 300300 Basic Experiment Center Civil Aviation University of China Tianjin 300300 Engineering Technique Tr

Because of the limitation of the expert system which is based on the rule, this text proposes introducing the neural network technology into the fault diagnosis system. Then we recommend the frame and the principle of the expert system. And at last, we complete the simulation experiment which indicates the rationality of this desin..

关键词： Fault Diagnosis Ezpert System Neural Network bp algorithm

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A NEW algorithm FOR THE THEORETICAL ENERGY LOSS CALCULATION OF THE DISTRIBUTION NETWORK BASED ON ARTIFICIAL NEURAL NETWORKS

A NEW ALGORITHM FOR THE THEORETICAL ENERGY LOSS CALCULATION ...

引用

2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

作者： HONG-RUI WANG GUO-JIE YANG XIU-LING LIU Department of Electronic and Informational Engineering Hebei University Baoding 071002 China

In this paper, several normal calculation algorithms for the theoretical energy loss of the power distribution network were simply *** analyzing their limitedness in using and applying the technology of artificial neural network (ANN), a novel bp based optimum calculation algorithm for the theoretical energy loss of the power distribution network was *** practical applications showed that the efficiency and veracity of the calculation for theoretical energy loss was improved.

关键词： Distribution networks Theoretical energy losses Artificial Neural Networks bp algorithm

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A Particle Swarm Optimization algorithm for Storage Environments

A Particle Swarm Optimization Algorithm for Storage Environm...

引用

2010 International Conference on Circuit and Signal Processing (ICCSP 2010) & 2010 Second IITA International Joint Conference on Artificial Intelligence (IITA-JCAI 2010)

作者： Bao Zhan Biao Henan University of Economics and Law Zhengzhou,China Wu Jianjun Henan University of Technology,Zhengzhou,China

In order to guarantee safety,which need storage environment humidity,strictly control the temperature inside and outside *** PSO-bp neural network technology was applied to the control system of grain situation,the different positions of the granary of temperature and humidity,which provide data fusion processing parameters to improve the accuracy of measurement and ***,the bp neural network to initial data fusion of food,and then the PSO to the fusion results of *** new algorithm has coordinated contradictions between learning efficiency and convergence rate,and improved skilled speed and convergence *** the results of experiment,the new algorithm has some advantages,such as quickly,validity and practicability.

关键词： Particle Swarm Optimization bp algorithm expert system measurement and control for grain storage

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Applications of ANNs in Geotechnical Engineering

Applications of ANNs in Geotechnical Engineering

引用

2007 8th International Conference on Electronic Measurement & Instruments（ICEMI’2007）

作者： Chen Xiangjun Gao Zhanfeng Shijiazhuang Railway Institute, Shijiazhuang, 050043,China

Artificial neural networks ANNs was developed very quickly and applied very widely in recent years due to its strong ability to solve the nonlinear problems. The artificial neural network-based method was also widely applied to the geotechnical engineering. The complexity of the geotechnical engineering problems because of the strong nonlinear relationship between knows and unknowns of the problems can be mapped very well by artificial neural networks. Researches on the application of artificial neural network in geotechnical engineering are reviewed and appraised in this paper. All the networks mentioned are trained with the back-propagation algorithm which is widely used by a great number of researchers. Research reveals that the method is feasible and it will be interested for more geotechnical engineers.

关键词： Artificial neural network bp algorithm geotechnical engineering

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Research on Intelligent Fault Diagnoses System on the Basis of Fuzzy Neural Network

Research on Intelligent Fault Diagnoses System on the Basis ...

引用

2010 Second ETP/IITA World Congress in Applied Computing, Computer Science, and Computer Engineering(ACC 2010)

作者： Chen Xiaohong Software Institute Dalian Jiaotong University Dalian, Liaoning 116052 CHINA

Artificial neural networks can simulate human intelligent behavior in the absence of the mathematical model. Therefore, in the traditional studies it is often used for diagnosis of fault type. However, the traditional neural network's convergence was slow, and easy to fall into local minimum value. In this paper, we proposed an improved fuzzy neural network model;we added an anti-fuzzy layer in the traditional network model. The improved model customer overcame the shortcomings of traditional neural network. It had fast learning speed and good fault tolerance. Then, we also proved the validity and feasibility of the method with the example of the steam turbine vibration failures.

关键词： Fault diagnoses Neural network Fuzzy control bp algorithm Improved fuzzy neural network Mechanical fault diagnosis

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Application of artificial neural networks coupled with an orthogonal design to simulation for powder mixed EDM

Application of artificial neural networks coupled with an or...

引用

Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on

作者： Fuling Zhao Yuangang Wang Hui Wang Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education Dalian University of Technology Dalian China

ISBN: (纸本)0780393953

Electric discharge machining (EDM) is one of the most accurate manufacturing processes available, and it is quite indispensable to aerospace industries. Powder mixed EDM (PMEDM) is a new process through which a better surface can be reached, nevertheless, PMEDM is a complicated and random process influenced by many parameters, and the intricacies of mechanism hinders its application. This paper presents a method that can be used to forecast the surface roughness in the PMEDM process with the application of artificial neural networks (ANNs). ANNs with back propagation (bp) algorithm coupled with an orthogonal design was applied to the modeling of the PMEDM system and simulation of experimental conditions. An orthogonal design was utilized to design the experimental protocol, in which peak current, pulse-on time, discharging area, servo voltage and no-load voltage were varied simultaneously. The results showed that the ANNs model reflected the complex relationship of PMEDM and had high predicting accuracy.

关键词： backpropagation electrical discharge machining neural nets production engineering computing surface roughness ANN bp algorithm PMEDM process artificial neural networks back propagation algorithm electric discharge machining orthogonal design powder mixed

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A Simple Procedure in Back-propagation Training

A Simple Procedure in Back-propagation Training

引用

2001 International Conferences on Info-tech and Info-net

作者： Chien-Cheng Yu Bin-Da Liu Department of Electrical Engineering National Cheng Kung University

The standard back-propagation(bp) algorithm is basically a gradient-descent method,it has the problems of local minima and slow *** this paper,a simple method based on the bp algorithm by employing an adaptive learning rate and momentum factor to reduce the training time is *** results indicate a superior convergence speed as compared to other competing methods.

关键词： Neural network bp algorithm Learning rate Momentum factor

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