Applications of Neural Networks in Electromagnetics

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Artech House, Jan 1, 2001 - Computers - 512 pages
The high-speed capabilities and learning abilities of neural networks can be applied to quickly solving numerous complex optimization problems in electromagnetics, and this book shows you how. Even if you have no background in neural networks, this book helps you understand the basics of each main network architecture in use today, including its strengths and limitations. Moreover, it gives you the knowledge you need to identify situations when the use of neural networks is the best problem-solving option.

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SingleLayer and Multilayer Perceptron Networks
Radial Basis Function NetworksKohonen Networks
Adaptive Resonance Theory Neural Networks

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About the author (2001)

Christos G. Christodoulou holds a M.S. and a Ph.D. in Electrical Engineering from North Carolina State University. Mr. Christodoulou is professor and chair of the Department of Electrical and Computer Engineering at the University of New Mexico. He is co-editor of a column on wireless communications for the IEEE AP magazine.

Michael Georgiopoulos holds an M.S. and a Ph.D. in Electrical Engineering from the University of Connecticut at Storrs. Michael Georgiopoulos is an associate professor at the School of Electrical Engineering and Computer Science of the University of Central Florida. He has published more than 90 papers pertaining to neural networks.

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