Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Acta Electronica Sinica》 2005-09
Add to Favorite Get Latest Update

Implementation of Optimal Weights Initialization Technology in Robot Learning

XIAO Wei,ZHOU Dong-hui,SUN Jian-feng,XU Zhi-qiang(Dept.of Electronics,Ocean University Of China,Qingdao,ShanDong 266071,China)  
An intelligent obstacle avoidance model based on BP neural network is established.Also a novel optimal weights initialization technology is proposed so that the sample sets and initial weights can match perfectly.Consequently,the convergence speed increases evidently.In order to improve the real-time performance,hybrid programming using C and assemble language is adopted.Computer simulation and real test show that the system has a strong ability of learning and good performance of human computer interaction.
【CateGory Index】: TP242
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved