Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Southwest China Normal University(Natural Science Edition)》 2009-03
Add to Favorite Get Latest Update

The Parallel Algorithm of the BP Neural Network Facing Complex Problems

SONG Zhi,He Jia Department of Computer,Chengdu University of Information Technology,Chengdu 610225,China  
The parallel algorithm based on the division of the training set can solve the problem that excessive training samples caused the training time of the BP neural networks to exponential growth.The NARA model makes parallel algorithm of the BP neural network not involve structure reunification.In this paper,combining the excellences of these two methods,a new BP neural network parallel algorithm is presented.The algorithm not only improves the training speed of BP neural networks,but also enhanced BP neural networks to solve complex problems.
【Fund】: 成都信息工程学院自然科学与技术发展基金资助项目(CSRF200705)
【CateGory Index】: TP183
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
Chinese Journal Full-text Database 3 Hits
1 LI Qi-taang1, LI Na2, SONG Guo-Jie3(1. Center of Education with AV & Computer & Experiment, Henan Business College, Zhengzhou 450052, China)(2. Department of Computer Science and Technology, Zhengzhou University, Zhengzhou 450052, China)(3. Department of Computer Science and Technology, Beijing University, Beijing 100871, China);A Parallel Back-Propagation Algorithm for Large Scale Neural Networks[J];Henan Radio Television University;2004-01
2 Wang Guoyin(Department of Computer Science and Engineering, Xi'an Jiaotong University, Xi'an 710049)Shi Hongbao(Department of Computer Science and Engineering, Shanghai Tiedao University, Shanghai 200333)Deng Wei(Department of Computer Science and Enginee;A PARALLEL NEURAL NETWORK ARCHITECTURE BASED ON NARA MODEL AND SIEVING METHOD[J];CHINESE JOURNAL OF COMPUTERS;1996-09
3 GAO Xue-peng, CONG Shuang (Department of Automation, University of Science and Technology of China, Hefei 230027, China);Comparative Study on Fast Learning Algorithms of BP Networks[J];Control and Decision;2001-02
Chinese Journal Full-text Database 10 Hits
1 YANG DonghouNIAN XiaohongYANG Shengyue(School of Information Science and Engineering, CentralSouth University,Changsha Hunan 410075);Two Kinds of Improved BP Learning Algorithms For Neural Network[J];Journal of Changsha University;2004-04
2 YIN Zhi-yu~1,LI Qing-ru~1,LI Wen-na~1,MA Long-sheng~2(1.Physics Institute,Hebei Normal University,Shijiazhuang 050016,China;2.Information & Engineering Institute,Yanshan University,Qinhuangdao 066004,China);A combined neural network fuzzy controller based on L-M algorithm[J];Electronics Optics & Control;2006-01
3 ZHAO Ye LI Wei-min (The Missile Institute,AFEU,Shaanxi.Sanyuan 713800.China);The Model of Optimum Seeking Operational Proposal of Aerial Defence by Improved BP Neural Network[J];Journal of Projectiles,Rockets,Missiles and Guidance;2004-S1
4 Guo Qingwu Zhang Shi Lin Jinguo (Department of Automation, Nanjing University of Technology, Nanjing 210009, China);Neural network toolbox in Matlab and its application in building soft-sensing models[J];Journal of Southeast University (Natural Science Edition);2003-S1
5 LI Feng, WANG Yan-yang,JIN Chang-jiang (Department of Flight Vehicle Design and Applied Mechanics, Beijing University of Aeronautics and Astronautics, Beijing 100083, China);Application and Development of Artificial Neural Networks in Flight Control Field[J];Flight Dynamics;2002-04
6 GAO Xing_pei (Maoming Radio and TV University,Maoming,Guangdong,525000,China);Application of Immune Genetic Algorithm in Structural Optimization on BP Network[J];Journal of Guangdong Radio and TV University;2005-01
7 WANG Rui YU Zhen-Hong YU Ying(Institute of Communication,School of Communications and Control Engineering,Jiangnan University,Wuxi,Jiangsu 214122,P.R.China);Application of BP Neural Network Algorithm in the UV Absorption Spectrum of the Phosphate Solution[J];Chinese Journal of Spectroscopy Laboratory;2009-04
8 ZHANG Yu-nong1,CHEN Yang-wen2,YI Chen-fu1,LI Wei1(1.Department of Electronics and Communication Engineering,Sun Yat-Sen Unirersity,Guangzhou 510215,China; 2.School of Software,Sun Yat-Sen University,Guangzhou 510275,China);Feed-Forward Neural Network Activated with Hermite Orthogonal Polynomials and Its Weights-Determination Method[J];Journal of Gansu Sciences;2008-01
9 YIN Zhi-yu,YU Fu-qiang,LI Qing-ru,Guo Qing(Physical College of Hebei Teachers University,Shijiazhuang 050016,China);Realizing the Temperature Control by Means of Fuzzy Controller Based on Neural Network[J];Industrial Heating;2006-03
10 Shan Jinling 1,3 , Ma Caiwen 1,Li Wengang 2,Tang Zili 2 1 Xi′an Institute of Optics and Precision Mechanics of CAS, Xi′an 710068 2 63875 Group,Shaanxi Huayin 714200 3 Graduate School of The Chinese Academy of Sciences,Beijing 100039;PID Controller Based on BP Neural Networks[J];Acta Photonica Sinica;2005-05
China Proceedings of conference Full-text Database 4 Hits
1 LV Guang-ming,SUN Li-ning, LU Nian-li Electromechanical School of Harbin Institute of Technology,Harbin 150001,China.;Research of BP network control model for 5-DOF rehabilitant robot[A];[C];2005
2 Yang Feng, Chen Rongbao, Xiao Benxian, Zhang Chongwei, Li Tianqing(Robotics Laboratory of Electrical Engineering and Automation Hefei Liniversity of Technology, Hefei 230009, China);Study on robot state monitoring method based on monocular vision[A];[C];2007
3 WU Xue—li~1, MENG Fan—hua~2, Li Ping~2, WANG Yong—ji~1, MENG Hua~2 (1. Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074; China; 2. Hebei University of Science and Technology);Overview and prospects for Intelligent control[A];[C];2004
4 Sun Bin Zhou Yunlong Hong Wenpeng (Department of Thermal Power, Northeast China Institute of Electric Power Engineering, Jilin 132012, China);Comparison of Several Fast Learning Algorithms of BP Networks in Flow Pattern Identification of Gas-Liquied Two-Phase Flow[A];[C];2004
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved