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Design and Implementations of a Learning T-Model Neural Network
Zheng TANG Okihiko ISHIZUKA
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1995/02/25
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.