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The Handbook of Neural Computation is a practical, hands-on guide to the design and
implementation of neural networks used by scientists and engineers to tackle difficult and/or …

For any research field to have a lasting impact, there must be a firm theoretical foundation.
Neural networks research is no exception. Some of the founda tional concepts, established …

The majority of current applications of neural networks are concerned with problems in
pattern recognition. In this article we show how neural networks can be placed on a …

In recent years, neural computation has developed from a specialized research discipline
into a broadly based and dynamic activity with applications in an astonishing variety of …

Nowadays neural computation has become an interdisciplinary field in its own right;
researches have been conducted ranging from diverse disciplines, eg computational …

Neural computation is impressive, yet we have made limited progress in understanding the
underlying algorithms. This is in large part because of the complexity of neural circuits and …

INTRODUCTION TO THE THEORY OF NEURAL COMPUTATION Page 1 Page 2
INTRODUCTION TO THE THEORY OF NEURAL COMPUTATION Page 3 Page 4 …

Neural computation has grown up from its infancy to a well respected paradigm of
information processing, with established theoretic foundations, challenging research fields …

Neural network hardware is sometimes claimed to be inspired by the design of the brain,
that is, it is neuromorphic. However, the operations of the resulting systems only …