Design and Implementations of a Learning T-Model Neural Network

Zheng TANG  Okihiko ISHIZUKA  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E78-A   No.2   pp.259-263
Publication Date: 1995/02/25
Online ISSN: 
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Neural Networks
neural networks,  Hopfield model,  T-Model,  learning,  backpropagation,  implementations,  hardware,  

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In this letter, we demonstrate an experimental CMOS neural circuit towards an understanding of how particular computations can be performed by a T-Model neural network. The architecture and a digital hardware implementation of the learning T-Model network are presented. Our experimental results show that the T-Model allows immense collective network computations and powerful learning.