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检索条件"主题词=Bp algorithm"

共 415 条记录，以下是371-380 订阅

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Research on Multi-base Depth Neural Network Speech Recognition

Research on Multi-base Depth Neural Network Speech Recogniti...

引用

2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Cai Jun Li Fei Zhang Yi Liu Yu College of Automation Chongqing University of Posts and Telecommunications Chongqing Information Accessibility and Service Robot Technology Research Center School of Advanced Manufacturing Engineering Chongqing University of Posts and Telecommunications

In speech recognition system, an improved multibase neural network speech recognition model is proposed to solve the problem of long learning time and slow convergence rate of deep neural network. How

ISBN: (纸本)9781467389808

关键词： Speech recognition Depth neural network Over-fitting bp algorithm Accuracy Speech recognition TEST SETS Neural network speech recognition system Neural Networks (Computer)

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The Short-Term Traffic Flow Prediction Based on Neural Network

The Short-Term Traffic Flow Prediction Based on Neural Netwo...

引用

The 2010 2nd International Conference on Future Computer and Communication(第二届未来计算机与通信国际会议 ICFCC 2010)

作者： Yuanlin LIU Wusheng HU Li LI Shujie XIN Transportation College Southeast University Nanjing China The second institute of road and bridge design Jiangsu transportation research institute CO. LTD Na

ISBN: (纸本)9781424458219;9781424458240

As we all know, to predict the short-term traffic flow accurately and efficiently is the premise and key of traffic management and control. Based on these existing study, this paper selected bp neural network model in which the traffic flow difference was taken as the input parameter, applied the thought of dynamic rolling prediction to design a new short-term traffic flow prediction method, and wrote the corresponding program. Then using the actual observation data of traffic flow presented the model structure, thought and calculation steps of this new method. The results show this method is feasibility, reliability, and of some practical value.

关键词： Short-term Traffic Flow Neural Network bp algorithm Dynamic Rolling Prediction

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Research and Improvement of LPDC Decoding algorithm

Research and Improvement of LPDC Decoding Algorithm

引用

2016 International Conference on Mechatronics Engineering and Information Technology(ICMEIT 2016)

作者： Tingting Chen Riuan Liu Lirong Diao School of electronic and communication engineering Tianjin Normal University

ISBN: (纸本)9781510829039

Low Density Parity Check(LDPC) code itself has a good performance and the application of LDPC in the communication field is extensive. LDPC codes have the characteristics of low bit error rate, easy adjustment, low decoding complexity and excellent decoding performance. LDPC is considered to be the "best performance" in the field of coding and decoding[1]. In this paper, we mainly introduce the theory of LDPC codes. And the use of the method of the LDPC code to do a further explanation. Several simple decoding schemes of LDPC are studied. Finally, using the method of function approximation to replace the confidence function to improve the bp LLR algorithm, and simulation experiments are carried out.

关键词： LDPC bp algorithm LLR bp algorithm Tanner graph

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APPLICATION OF COMBINATORIAL PROBABILISTIC NEURAL NETWORK IN FAULT DIAGNOSIS OF POWER TRANSFORMER

APPLICATION OF COMBINATORIAL PROBABILISTIC NEURAL NETWORK IN...

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： YONG-CHUN LIANG XIAO-YUN SUN DONG-HUI LIU HUI-QIN SUN Department of electrical engineering Hebei University of Science and Technology Shijiazhuang 050054 China

Probabilistic Neural Network (PNN) overcame the shortcomings of entrapment in local optimum, slow convergence rate which was in bp *** enough training samples, PNN obtained the optimal result of Bayesian *** of the fast training rate, the training samples can be added into PNN at any ***, PNN is fit to diagnose the fault of power transformer and has *** order to improve the classification accuracy, the conception of combination is introduced into *** fault diagnosis of power transformer is consisted of 4 Probability neural networks in this *** is used to classify the normal and fault PNN2 is used to classify the heat fault and partial discharge (PD) fault PNN3 is used to classify the general overheating fault and severe overheating fault PNN4 is used to classify the partial discharge fault, and energy sparking or arcing *** example shows that the effect of combinatorial PNN is a good classifier in the fault diagnosis of power *** combinatorial PNN has better diagnosis accuracy than bpNN and FUZZY algorithm.

关键词： Probabilistic neural network bp algorithm Bayesian rules Diagnosis Power transformer

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Influence of the Stop-and-Hop Assumption on Synthetic Aperture Sonar Imagery

Influence of the Stop-and-Hop Assumption on Synthetic Apertu...

引用

2017 17th IEEE International Conference on Communication Technology (ICCT 2017)

作者： Xuebo Zhang Xiaohui Chen Wu Qu Science and Technology on Underwater Acoustic Antagonizing Laboratory

Stop-and-hop(S&H) assumption is usually exploited by most multiple receiver synthetic aperture sonar(SAS)imaging geometries, which are the basis of the SAS image formation algorithms. It is a reasonable approximation for the target focusing with a slow sonar platform speed. However, it is not suitable for the systems with a fast speed at far range as this assumption would deteriorate the target focusing performances. This paper firstly analyzes the error of S&H approximation in the 2-D space domain, which shows the necessity of the compensation for this approximation *** on back projection(bp) algorithm, simulated data is processed with and without the S&H approximation,respectively. The experiments are carried out with two sonar platform velocities, i. e. slow and fast sonar platform *** processing results further indicate that the S&H error should be compensated when the system is operated with a fast speed.

关键词： multiple receiver synthetic aperture sonar the error S&H approximation bp algorithm

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An Accelerating Method of Training Neural Networks Based on Vector Epsilon algorithm

An Accelerating Method of Training Neural Networks Based on ...

引用

Third International Conference on Information and Computing(第三届信息与计算科学国际会议 ICIC 2010)

作者： Lian Lian Jianliang Li Yong Jiang School of Science Nanjing University of Science & Technology Nanjing 210094 P.R. China College of Math & Physics Nanjing University of Information Science & Technology Nanjing 210044P.R.

ISBN: (纸本)9781424470815;9780769540474

This paper studied the accelerating convergence of the vector sequences generated by bp algorithm with vector epsilon algorithm, and presented the conclusion that the algorithms is not only convergent but also accelerated. Finally, we tested them for three classical artificial neural network problems. By numerical experiments, results shown that can reduce CPU time for computation and improve the learning efficiency.

关键词： artificial neural networks bp algorithm epsilon algorithm accelerated convergence numerical analysis

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GA Neural Network of The Cost of The Building Graphic of The Analysis and Understanding

GA Neural Network of The Cost of The Building Graphic of The...

引用

2010 International Conference on Computer,Mechatronics,Control and Electronic Engineering(2010计算机、机电、控制与电子工程国际会议 CMCE 2010)

作者： Kuancheng Zou Ye Qian Yafei Li Pengfei Zhang School of Computer Science and Engineering Changchun University of Technology Changchun China

ISBN: (纸本)9781424479573

The costs of pre-building graphic in the construction project management is a very important job, based on neural network theory and the characteristics of the costs of building graphic, raised GA neural network to solve the cost of building graphic problem, applied bp network model and used GA to optimize the weight based on bp algorithm. The calculation examples showed that the accuracy of the cost estimation met the requirements basically.

关键词： the cost of building graphic Neural network bp algorithm GA

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A Modified Back Propagation algorithm of Neural Network with Global Optimization

A Modified Back Propagation Algorithm of Neural Network with...

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2014 3rd International Conference on Key Engineering Materials and Computer Science(KEMCS 2014)

作者： Jingjing Li Zhe Cui Chengdu Institute of Computing Technology Chinese Academy of Sciences

The advantages and weakens of traditional bp algorithm is briefly analyzed and an efficient global optimization algorithm is *** basic principle of the algorithm is presented,and a new bp neural network algorithm based on the existing bp algorithm and the new global optimization algorithm is proposed, considering the new global optimization algorithm can solve the problem of local minimum efficiently. To verify the effectiveness of the new bp algorithm,the paper compared the experimental results of various algorithms in solving function fitting problem.

关键词： Neural network bp algorithm Global optimization algorithm Global minimum Modified algorithm

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A Study on Learning Mechanism for Neuron Networks with Weight-Function

A Study on Learning Mechanism for Neuron Networks with Weigh...

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2011 4th IEEE International Conference on Computer Science and Information Technology(ICCSIT 2011)

作者： HUANG Xi WENG Zong-huang SHI Wen-zao,WANG Ping Institute of Laser and Optoelectronics Technology,Fujian Provincial Key Laboratory for Photonics Technology,Key Laboratory of Optoelectronics Science and Technology for Medicine of Ministry of Education,Fujian Normal University,Fuzhou,350007,P.R.China

In this paper a new neural network model with weight-function is *** the model,the weight is a function with adjustable parameters,and the sum of these weight functions as the neuron *** according to bp algorithm,the learning algorithm of feed-forward neural network with weight-function neurons is *** results show that,applying the back-propagation algorithm to the new neural network the better convergence rate can be obtained and in some applications the new neural network based on the weight-function neurons is superior to the bp network based on the MP neuron model,so that it has a significant value in further research and application.

关键词： Weight-Function neural bp algorithm

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Second order back-propagation learning algorithm and its application for neural network

Second order back-propagation learning algorithm and its app...

引用

3rd World Congress on Intelligent Control and Automation

作者： Liu, TN Ren, WJ Chen, GY Xu, BC Yu, D Daqing Petr Inst Dept Automat & Control Engn Anda 151400 Heilongjiang Peoples R China

ISBN: (纸本)7312012035

In this paper a new second order recursive learning algorithm to multilayer feedforward network is proposed. This algorithm makes not only each layer errors of network but also second order derivative information factors backpropagate. And it is proved that it is equivalent to Newton iterative algorithm and has second order convergent speed. New algorithm achieves the recurrence calculation of Newton search directions and the inverse of Hessian matrices. Its calculation quantity is correspond to that of common recursive least squares algorithm. It is stated clearly that this new algorithm is superior to Karayiannis' second order algorithm according to analysis of their properties.

关键词： multilayer feedforward network bp algorithm second order learning algorithm Newton algorithm

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