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Asia-Pacific Microwave Conference (APMC)

作者： Yu, Liechen Li, Shiyong Zhao, Guoqiang Sun, Houjun Beijing Inst Technol Beijing Key Lab Millimeter Wave & Terahertz Techn Beijing 100081 Peoples R China

ISBN: (纸本)9781479987672

The near-filed array-based imaging radar systems have been widely used in the field of concealed weapon detection, medical imaging, etc. However, conventional systems always require a large number of antenna elements. Both the cost and complexity of the systems are increased. This paper refers to the convolution principle and introduces an optimization method for near-filed MIMO array. And the back-projection (bp) algorithm is used to the near-field MIMO imaging, which can focus any array configurations. Simulations are provided to demonstrate the performance of the proposed method, which proves that it is an effective way to solve the near-field sparse array imaging problem.

关键词： Near-field array-based MIMO convolution principle bp algorithm

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Application of Hybrid Back Propagation Neural Network in Image Compression 8

Application of Hybrid Back Propagation Neural Network in Ima...

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8th International Conference on Intelligent Computation Technology and Automation (ICICTA)

作者： Wei, Jia Neijiang Normal Univ Neijiang 641002 Sichuan Peoples R China

ISBN: (纸本)9781467376440

A new hybrid neural network is showed in this paper for image compression, in which the hybrid genetic algorithm and bp algorithm approach are used to train the weight vector. The essence of the hybrid neural network in this paper is a feed-forward artificial neural network. It uses the hybrid intelligent learning algorithm for training. The advantage of genetic algorithm is the parallel search and high search efficiency. So its convergent speed and precision are improved greatly. The results of this method show high compression ratio, high ratio of signal vs noise, low errors of coding, high decoding speed and fine resuming effect on subject.

关键词： genetic algorithm neural network image compression bp algorithm

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The Design and Application of Control System Based on the bp Neural Network

The Design and Application of Control System Based on the BP...

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2015 3rd International Conference on Mechanical Engineering and Intelligent Systems(ICMEIS 2015)

作者： Xinglei Li Hongbin Yu School of Mechanical Engineering Tianjin Polytechnic University

Artificial neural network is composed by a large number of processing interconnected unit. It is a nonlinear, adaptive information processing system. It has self-organizing, adaptive and self-learning ability. And can be used to calculate complex relationship between input and output, thus it has effective control ability. Rubber is the main material in the process of the mixer. It has a great influence on the final product. But at present many factories are added in the rubber by manual control. So this article takes the rubber transport equipment as the object, establish a bp neural network intelligent control system, using neural network self-learning ability and the adaptive ability to deal with uncertain information, to solve the problem of motion control of multiple dynamic input. Through the test of practical application, the system has strong robustness, adaptability, good generality and fault tolerance.

关键词： mixer process Neural network bp algorithm Asynchronous motor

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A Modified bp algorithm for LDPC Decoding Based on Minimum Mean Square Error Criterion

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IEICE TRANSACTIONS ON COMMUNICATIONS 2010年第5期E93B卷 1256-1259页

作者： Xu, Meng Ji, Xincun Wu, Jianhui Zhang, Meng Southeast Univ Natl ASIC Res Ctr Nanjing Peoples R China

In this paper, a modified Belief Propagation (bp) decoding algorithm for low-density parity check (LDPC) codes based on minimum mean square error (MMSE) criterion is proposed. This modified algorithm uses linear equation to replace the hyperbolic function in the original bp algorithm and optimizes the linear approximation error based on MMSE criterion. As a result, compared with the standard bp algorithm the computational complexity is reduced significantly as the modified algorithm requires only addition operations to implement. Besides that simulation results show our modified algorithm can achieve an error performance very close to the bp algorithm on the additive white Gaussian noise channel.

关键词： LDPC MMSE bp algorithm linear approximation

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The Fault Diagnosis Expert System Based on bp Neural Network

The Fault Diagnosis Expert System Based on BP Neural Network

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2015 IEEE Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2015)

作者： RONG Hua Chen Qiu Department of Information Combat Dalian Naval Academy Postgraduate Management Brigade Dalian Naval Academy

ISBN: (纸本)9781479919819

This paper summarizes the features and principles of artificial neural network,and problems existing in the traditional expert *** it introduces the structural components and advantages of fault diagnosis system which combined with artificial neural network and expert *** it elaborates the basic principle and implementation process of fault diagnosis expert system based on bp neural network.

关键词： Artificial neural network Fault diagnosis Expert system bp algorithm

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Soft-Sensing of Oil-Water Interface Based on Modified Particle Swarm Optimization algorithm with bp Neural Network

Soft-Sensing of Oil-Water Interface Based on Modified Partic...

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2014 International Conference on Artificial,Intelligence and Software Engineering(AISE 2014)

作者： Yu-bo DUAN Ting-ting FENG Ke-yong SHAO Meng-yu YUAN School of Electrical and Information Engineering Northeast Petroleum University

Traditional bp algorithm has the advantages of simple plastic, but there are easy to fall into local extremum, unable to overcome the defects such as slow convergence speed. The particle swarm optimization(PSO) algorithm has the advantages of short training time, small relative error and high control precision. Therefore, this paper designs an modified particle swam optimization algorithm to optimize the bp neural network method, for measuring oil-water interface problem in the process of dehydration of crude oil production, related soft-sensing model is established and simulated experiment, verify the correctness of the model.

关键词： Oil-water interface Particle swam optimization algorithm bp algorithm Soft-sensing

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Near-Field Microwave Imaging with a New Optimization of MIMO Array

Near-Field Microwave Imaging with a New Optimization of MIMO...

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Asia-Pacific Microwave Conference

作者： Liechen Yu Shiyong Li Guoqiang Zhao Houjun Sun Beijing Key Laboratory of Millimeter Wave and Terahertz Technology Beijing Institute of Technology

ISBN: (纸本)9781479987689

关键词： Near-field Array-based MIMO Convolution prin-ciple bp algorithm

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Near Optimal bp algorithm for LDPC-Coded BICM System with EXIT Analysis

Near Optimal BP Algorithm for LDPC-Coded BICM System with EX...

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6th International Conference on Wireless Communications, Networking and Mobile Computing (WICOM)

作者： Wang, Ying Xie, Lei Chen, Huifang Wang, Kuang Zhejiang Univ Dept Informat Sci & Elect Engn Hangzhou 310027 Zhejiang Peoples R China

ISBN: (纸本)9781424437092

A near optimal bp (NObp) algorithm for low-density parity-check (LDPC) coded M-ary BICM communication system is proposed in this paper. Due to the good code structure of LDPC code, we derive the NObp algorithm with the generalized distributive law from the generalized M-ary bp algorithm. The simulation results show that the NObp algorithm outperforms the traditional BICM-bp algorithm over both the AWGN and Rayleigh fading channel. And the EXIT chart of two algorithms confirms the superiority and the fast convergence of our proposed NObp algorithm.

关键词： LDPC BICM GDL bp algorithm EXIT chart

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The Application of bp algorithm of NN for the Temperature Identification of Shaft Furnace

The Application of BP Algorithm of NN for the Temperature Id...

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2nd IEEE International Conference on Advanced Computer Control

作者： Lou, Guohuan Wang, Xiaoyan Wang, Jianmin Zhao, Wei Hebei Polytech Univ Coll Comp & Automat Control Tangshan Peoples R China

ISBN: (纸本)9781424458479

This The pellet sintering process is a physical chemistry process, which is pure time-delay and non-linear with more variables and discrete parameters. In order to solve this problem, a new bp algorithm of NN for the temperature identification of sintering shaft furnace is introduced in this paper. bp network is combined with PID control and simulation effects are given with MATLAB. The experiment results show this method can make the temperature of firebox conform the requirement of the control standard and can also improve the output and quality of the products.

关键词： Neural Networks (NN) bp algorithm MATLAB firebox

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Application of Wavelet Packets and GA-bp algorithm in Fault Diagnosis for Diesel Valve Gap Abnormal Fault

Application of Wavelet Packets and GA-BP algorithm in Fault ...

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2nd IEEE International Conference on Advanced Computer Control

作者： Cai, Yanping Li, Aihua He, Yanping Wang, Tao Zhao, Jinru Xian High Tech Inst Xian 710025 Peoples R China

ISBN: (纸本)9781424458479

Analysing vibration signal is an effective important method for diesel engine fault diagnosis, and its key techniques are feature extraction and pattern recognition. In this paper, wavelet packet decomposition algorithm as an effective method for fault feature extraction is used to decompose the vibration signals, and its percentage of energy band wavelet packet and wavelet packet energy spectrum entropy are regarded as diagnostic feature vectors. At the same time, in the process of pattern recognition, a mixed neural network training algorithm GA-bp algorithm was used to recognize the fault pattern in fault diagnosis of valve gap abnormal fault. This method can effectively and reliably be used in the fault diagnosis of valve gap abnormal fault by comparing the two algorithms and analyzing the results of real examples. This method can also effectively be used in other fields.

关键词： Wavelet package Spectrum entropy Neural Network bp algorithm Genetic algorithm Fault diagnosis Diesel

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