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IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences 2006 E89-A(9):2374-2380; doi:10.1093/ietfec/e89-a.9.2374
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Copyright © 2006 The Institute of Electronics, Information and Communication Engineers

Regular Section -- Papers -- Nonlinear Problems

Performance of Affordable Neural Network for Back Propagation Learning

Yoko UWATE1 and Yoshifumi NISHIO1

1 The authors are with the Department of Electrical and Electronic Engineering, Tokushima University, Tokushima-shi, 770-8506 Japan. E-mail: uwate{at}ee.tokushima-u.ac.jp, E-mail: nishio{at}ee.tokushima-u.ac.jp

Cell assembly is one of explanations of information processing in the brain, in which an information is represented by a firing space pattern of a group of plural neurons. On the other hand, effectiveness of neural network has been confirmed in pattern recognition, system control, signal processing, and so on, since the back propagation learning was proposed. In this study, we propose a new network structure with affordable neurons in the hidden layer of the feedforward neural network. Computer simulated results show that the proposed network exhibits a good performance for the back propagation learning. Furthermore, we confirm the proposed network has a good generalization ability.

Key Words: cell assembly, affordable neurons, back propagation

Manuscript received December 27, 2005. Manuscript revised May 13, 2006. Final manuscript received June 8, 2006.


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