Intended to stimulate discussion on how best to integrate neural networking methods to achieve effective solutions to practical problems, this book describes the state of the art in this area. It reflects the most popular and effective neural algorithms and combines them with pre-processing methods on which the effectiveness of the overall solution to the problem critically depends. This combination of neural and conventional techniques, and the emergence of some form of consensus about their role and limitations in relation to each other, is at the core of the book.
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