This text presents neural network theory for diverse applications in a unified way, where the structural of artificial neural networks are characterized by distinguished classes of graphs. The book proceeds from a clear but concise exposition of neuroscience fundamentals, graph theory and alogorithms to a detailed analysis of perceptron and lms-theory based neural networks, multilayer feedforward networks, and self-organizing and competitive learning neural networks. The text culminates with a chapter on selected applications.
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Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G0070066183I4N00