Rutkowski, Leszek New soft computing techniques for system modelling, pattern classification and image processing. (English) Zbl 1054.68127 Studies in Fuzziness and Soft Computing 143. Berlin Springer (ISBN 3-540-20584-5/hbk). xi, 373 p. (2004). Publisher’s description: 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 squares techniques for neural network learning as well as discussing hardware implementations 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. Cited in 6 Documents MSC: 68T10 Pattern recognition, speech recognition 68U10 Computing methodologies for image processing 68T05 Learning and adaptive systems in artificial intelligence 68-02 Research exposition (monographs, survey articles) pertaining to computer science Keywords:probabilistic neural networks; image compression; vector quantization technique; least squares techniques PDFBibTeX XMLCite \textit{L. Rutkowski}, New soft computing techniques for system modelling, pattern classification and image processing. Berlin Springer (2004; Zbl 1054.68127)