Introduction

Neural networks have become a serious contender for real-world computing and industrial control. Neural techniques in nonlinear and associative problems have enabled automation of tasks that previously eluded mechanization, and in the next few years, the growing use of parallel processing and VLSI will further broaden the scope of neural network applications. Neural solutions, from telephone noise filters to process control, are becoming common in industry and commerce, and this expanding popularity is bringing the topic to new fields of application with intractable problems to solve.

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