Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Water Resource & Hydropower of Northeast China》 2003-10
Add to Favorite Get Latest Update

Determination of over - fit parameter p in uncertainty principle of BP network"over - fit" phenomenon

ZENG Guo - xi, LIANG Chuan, LIU Guo - dong  
The relation between the study ability and the popularization ability of network at appearance of "over - fit" phenomenon during the construction of BP network model meets the uncertainty principle. The determination of over - fit parameter p in uncertainty principle contributes to avoid the appearance of "over - fit' phenomenon. The paper gives one method for seek the over - fit parameter p. the practice makes known that the obtained p reduces the possible range.
【CateGory Index】: P333.9
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【Citations】
Chinese Journal Full-text Database 1 Hits
1 LI Zuo Yong DENG Xin Min (Institute of Atmospheric Electronic Technique, Chengdu Institute of Meteorology, Chengdu, Sichuan 610041, China);UNCERTAINTY RELATION SUITED TO OVERFITTING OF BP NEURAL NETWORK [J];JOURNAL OF INFRARED AND MILLIMETER WAVES;2000-02
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 WANG ZHi liang et al.;Application of Genetic and Improved BP Algorithms in Geotechnical Engineering[J];Underground Space;2001-03
2 CHEN Ke-ke~1,YAO Jian~2,XU Lei~3(1.2.3 Sichuan College,Chendu 610065,China);Model of Neural Network for Road Traffic Noise Prediction of the Urban Area in Lhasa City[J];Environmental Science and Management;2006-05
3 HUANG Jun, TANG Wan ying, ZHOU Shen fan (College of Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China);Study of Predicting TNT Red Water’ s Pre treatment Effect with Artificial Neural Network[J];CHINESE JOURNAL OF EXPLOSIVES & PROPELLANTS;1999-03
4 Li Zuoyong Deng Xinmin (Chengdu Institute of Meteorology);PREDICTION MODEL OF ENVIRONMENTAL POLLUTION USING ARTIFICIAL NEURAL NETWORK[J];JOURNAL OF CHENGDU INSTITUTE OF METEOROLOGY;1997-04
5 LAI Jing,WANG Qing,SUN Dong-li(School of Material Scienceand Engineering,Harbin Institute of Technology,Harbin 150001,China);Application of Artificial Neural Network in Materials Study[J];Journal of Materials Engineering;2006-S1
6 HE Qing-bi, ZHOU Jian-li(School of Computer and Information Engineering,Chongqing Jiaotong University,Chongqing 400074, China);The convergence and improvements of BP neural network[J];Journal of Chongqing Jiaotong University;2005-01
7 ZHANG Jing-ya~(1,2),PAN Qi-yong~2 (1.School of Electronics and Information,Suzhou University,Suzhou 215006,China; 2.Dept.of Physics,Changshu Institute of Technology,Changshu 215500,China);The Realization and Discussion of a Function's Approximation Based on BP Neural Networks[J];Journal of Changshu College;2004-04
8 Wang Jinwen, Shi Qi, Zhang Yongchuan (Huazhong University of Science and Technology, Wuhan 430074, China);APPLICATIONS OF ARTIFICIAL NEURAL NETWORK TO WATER RESOURCES MANAGEMENT[J];Dam Observation and Geotechnical Tests;2002-05
9 YANG Xu, FENG Guo-zhang;Analysis of medium and long term hydrological forecast precisionbased on BP network[J];Water Resource & Hydropower of Northeast China;2003-02
10 SANG Bao-hua XUE Xiao-zhong (Power Eng.College,NUST,Nanjing 210094,China);Design of Simple Guided-bomb's On-line Neural Network Based on Project Ballistics[J];Journal of Projectiles,Rockets,Missiles and Guidance;2006-S1
【Secondary Citations】
Chinese Journal Full-text Database 2 Hits
1 Du Limin, Hou Ziqiang (State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100080);Implementation of the Fast Learning Algorithm lor Multilayer Feed-Forward Neural Networks[J];Acta Electronica Sinica;1992-10
2 Yan Pingfan (Dept.of Automation,Tsinghua Unirersity,Beijing 100084);Some Views on the Research of Multilayer Feedforward Neural Networks[J];ACTA ELECTRONICA SINICA;1999-05
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved