DocumentCode
768179
Title
A biologically-inspired improved MAXNET
Author
Yadid-Pecht, Orly ; Gur, Moshe
Author_Institution
Dept. of Biomed. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
Volume
6
Issue
3
fYear
1995
fDate
5/1/1995 12:00:00 AM
Firstpage
757
Lastpage
759
Abstract
A biologically-inspired modification to MAXNET is proposed. Unlike the original net where the weights are constant, the weights in the new net are dynamically changed. Consequently, the modified net achieves a drastic improvement in convergence rate. A simple hardware implementation for the modified net is presented
Keywords
convergence; neural nets; optimisation; biologically-inspired improved MAXNET; convergence rate; maximum selection; neural net; Added delay; Binary trees; Biomedical engineering; Convergence; Hardware; Logic; Neural networks; Neurofeedback; Silver; Working environment noise;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.377981
Filename
377981
Link To Document