A tutorial guide that explores the neural networks and learning algorithms involved in designing various stages of an image understanding system. It explains the functions and implementation of each design stage, including preprocessing, feature extraction, texture analysis, associative storage, and the knowledge base. ANN models used throughout expedite an understanding of network basics and how to use them in complex computing tasks.. Annotation copyright Book News, Inc. Portland, Or.

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