Explores the intricacies of the learning process-an essential component for understanding neural networks.Detailed analysis of back-propagation learning and multi-layer perceptrons.Reinforces key concepts with chapter objectives, problems, worked examples, a bibliography, photographs, illustrations, and a thorough glossary.Extensive, state-of-the-art coverage exposes students to the many facets of neural networks and helps them appreciate the technology's capabilities and potential applications.Computer-oriented experiments distributed throughout the text.
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Matlab codes used for the computer experiments in the text are available for download at: Neural Networks and Learning Machines, 3rd Edition.
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