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Neural networks and MIMD-multiprocessors

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2 Author(s)
K. Kaski ; Microelectronics Lab., Tampere Univ. of Technol., Finland ; J. Vanhala

Two artificial neural network models are compared. They are the Hopfield neural network model and the Sparse Distributed Memory model. Distributed algorithms for both of them are designed and implemented. The run time characteristics of the algorithms are analyzed theoretically and tested in practise. The storage capacities of the networks are compared. Implementations are done using a distributed multiprocessor system

Published in:

Symbols Versus Neurons, IEE Colloquium on

Date of Conference:

1 Oct 1990