Describes the development of machine learning algorithms using the latest of these technologies including object oriented programming, neural networks, genetic algorithms and fuzzy set theory. The main thrust is on neural networks and how their integration with other technologies will improve performance substantially through adroit combination of various computing paradigms. Contains complete examples for each of the systems discussed.

L'autore:

HOJJAT ADELI received his PhD from Stanford University in 1976. He is currently Professor of Engineering and a member of the Center for Cognitive Science at Ohio State University. A contributor to 40 research and scientific journals, he has authored over 250 research and scientific publications, including four pioneering books, and edited ten books in various areas of computer science and engineering. Professor Adeli is the Editor in Chief of the journal, Integrated Computer-aided Engineering. SHIH-LIN HUNG received his MS and PhD from Ohio State University in 1990 and 1992, respectively. He is currently an Associate Professor at the National Chiao Tung University, Taiwan, Republic of China. He has authored thirteen papers in the areas of expert systems, neural networks, machine learning, and parallel processing.

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