This book presents new soft computing techniques for system modeling, pattern classification and image processing. The book consists of three parts, the first of which is devoted to probabilistic neural networks including a new approach which has proven to be useful for handling regression and class...

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Bibliographic Details

Main Author:	Rutkowski, Leszek (Author)
Format:	Electronic eBook
Language:	English
Published:	Berlin, Heidelberg Springer Berlin Heidelberg 2004
Series:	Studies in Fuzziness and Soft Computing 143
Subjects:	Computer Science Theory of Computation Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision Pattern Recognition Information and Communication, Circuits Computer science Computers Artificial intelligence Image processing Pattern recognition Information theory Applied mathematics Engineering mathematics
Online Access:	FHI01 BTU01 Volltext
Summary:	This book presents new soft computing techniques for system modeling, pattern classification and image processing. The book consists of three parts, the first of which is devoted to probabilistic neural networks including a new approach which has proven to be useful for handling regression and classification problems in time-varying environments. The second part of the book is devoted to Soft Computing techniques for Image Compression including the vector quantization technique. The third part analyzes various types of recursive least square techniques for neural network learning as well as discussing hardware implemenations using systolic technology. By integrating various disciplines from the fields of soft computing science and engineering the book presents the key concepts for the creation of a human-friendly technology in our modern information society
Physical Description:	1 Online-Ressource (XI, 374 p)
ISBN:	9783540400462
DOI:	10.1007/978-3-540-40046-2