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NEURAL NETWORK FUNDAMENTALS WITH GRAPHS, ALGORITHMS, AND APPLICATIONS
Page 1 NEURAL NETWORK FUNDAMENTALS WITH GRAPHS, ALGORITHMS, AND …

This book introduces neural networks. It describes what they are, what they can do and how
they do it. While some scientific background is assumed, the reader is not expected to have …

Focuses on the design and production of integrated circuits specifically designed for a
particular application from original equipment manufacturers. The book outlines silicon and …

A new approach to self-aligning unsupervised optical learning based on the competitive
learning algorithm and adaptive holographic interconnections is introduced. A volume …

This monograph collects together papers by leading researchers in the field of
photorefractive nonlinear optics. All of the works are presented by eminent researchers in …

While numerous artificial neural network (ANN) models have been electronically
implemented and simulated by conventional computers, optical technology provides a far …

This thesis describes the use of volume holography to implement large-scale linear
transformations on distributed optical fields. Such transformations are useful in the …

Principles of the photorefractive perceptron learning algorithm are described. The influences
of the finite response time and hologram erasure of the photorefractive gratings on the …