DocumentCode
328279
Title
Power Law In Feedforward Networks
Author
Câteau, Hideyuki
Author_Institution
University of Tokyo
Volume
1
fYear
1993
fDate
25-29 Oct. 1993
Firstpage
513
Lastpage
516
Abstract
When a feedforward network memorizes several different iterns, the pace of the memory declines due to an interference between already memorized items. We show that this slow down of the learning is generally described by a power law.
Keywords
Cost function; Feeds; Humans; Intelligent networks; Interference; Neural networks; Neurons; Physics; Psychology; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN
0-7803-1421-2
Type
conf
DOI
10.1109/IJCNN.1993.713966
Filename
713966
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