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Learning, generalization, seeing and recognition are the major features of natural intelligence. This guide describes man-made systems that integrate these features, including high-speed architectures and system organizations suitable for industrial applications.
From the Publisher
Describes multiple possible generalizers, comparing different infinitesimal and discrete techniques in learning and in neural network synthesis. Offers high speed solutions based on the latest intelligent modules and systems. Includes such leading computer processes as searching and sorting, backpropagation in neural networks, vision and graphics, pattern identification and recognition. Contains a large number of examples, experimental results, illustrations, flowcharts plus a bibliography featuring over 300 items.
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- Dynamic, Genetic, and Chaotic Programming: The Sixth-Generation (Sixth Generation Computer Technologies) by Branko Soucek in Front Matter
- Agent-Oriented Programming: From Prolog to Guarded Definite Clauses (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) by Matthew M. Huntbach in Back Matter
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