Simulating Neural Networks in a Distributed environments
Authors: Vanhala, Jukka, Kaski, Kimmo
Two artificial neural network models are compared. They are the Hopfleld 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.
OUG-11: Developing Transputer Applications, J. Wexler, 1989, pp 129 - 141 published by IOS Press, Amsterdam
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