Download or read book VLSI Implementation of Neuromorphic Learning Networks written by and published by . This book was released on 1993 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt: The researchers have shown how to rigorously derive deterministic systems from stochastic ones in the Boltzmann machine framework that they are using for their implementations. They have further shown how to search for new learning algorithms suitable for VLSI implementation using a genetic algorithm approach. They-have analyzed the effect of precision constraints such as is found in hardware implementations on the learning and generalization abilities of neural networks. They have studied the learning behavior of neural networks under conditions where they where they can or cannot classify perfectly.