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Book synopsis

Pattern Regcognition with Neural Networks covers traditional linear pattern recognition and its nonlinear extension via neural networks from an algorithmic approach. The author has written a real-world practical "why-and-how" text that provides a refreshing contrast to competing texts' thoeretical appraoch and "pie-in-the-sky" claims. The text explores mulitple layered preceptrons and describes network types such as functional link, radial basis function, learning vector quantanization and self-organizing. The author also discusses recent clustering methods. This text is suitable for an advanced undergraduate course in pattern recognition or neural networks, and is also useful as a reference and a resource.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Pattern Recognition Using Neural Networks
• Author: Carl G. Looney
• Language: English
• Binding: Hardback
• Number of pages: 480
• EAN: 9780195079203
• ISBN: 0195079205
• ID: 04513064
• Publisher: Oxford University Press Inc
• Weight: 1020 g
• Dimensions: 241 × 197 × 27 mm
• Date of publishing: 01. February 1997

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