DocumentCode
2436707
Title
A suggestion for solving negative transfer problem in VLSI backpropagation neural networks
Author
Lo, Jien-Chung ; Kolluri, Srinivas
Author_Institution
Dept. of Electr. Eng., Rhode Island Univ., Kingston, RI, USA
Volume
4
fYear
1994
fDate
27 Jun-2 Jul 1994
Firstpage
2149
Abstract
To overcome negative transfer problem in backpropagation (BP) neural networks, a modified BP algorithm has been proposed. However, for VLSI BP neural networks, this means an extensive design efforts. We analyze in this paper the nature of negative transfer problem and identify a simple technique to solve the negative transfer problem in VLSI BP neural networks
Keywords
VLSI; backpropagation; neural chips; VLSI backpropagation neural networks; fault tolerance; learning characteristics; negative transfer problem; synaptic weights; Algorithm design and analysis; Backpropagation algorithms; Gaussian distribution; Histograms; Intelligent networks; Network-on-a-chip; Neural networks; Neurons; Performance analysis; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1901-X
Type
conf
DOI
10.1109/ICNN.1994.374548
Filename
374548
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