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.
"synopsis" may belong to another edition of this title.
FREE shipping within U.S.A.
Destination, rates & speedsSeller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Hardcover. Condition: Very Good. No Jacket. Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.85. Seller Inventory # G0070066183I4N01
Quantity: 1 available