Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《JOURNAL OF UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING》 1999-01
Add to Favorite Get Latest Update

Determining Topology Architecture for Chaotic Time Series Neural Network

Li Qing; Zheng Deling(Information Engineering School, UST Beijing, Beijing 100083, China)  
Three-layered feed-forward neural network is used to establish the model for chaotictime series dynamic systems. Determination method of topology architecture for network is given.The size of the input node and hidden node is determined by the minimization the generalizationerror of the network. The simulation results show that the network architecture is optimized and thegeneralization error is dramatically decreased when this method is used.
【Fund】: 国家自然科学基金!69772014
【CateGory Index】: TP18
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