Neural networks in a softcomputing framework

著者

書誌事項

Neural networks in a softcomputing framework

K.-L. Du and M.N.S. Swamy

Springer, c2006

  • hbk.
  • e-book

大学図書館所蔵 件 / 全5件

この図書・雑誌をさがす

注記

Includes bibliographical references (p.[483]-544) and index

内容説明・目次

内容説明

This concise but comprehensive textbook reviews the most popular neural-network methods and their associated techniques. Each chapter provides state-of-the-art descriptions of important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms - powerful tools for neural-network learning - are introduced. The systematic survey of neural-network models and exhaustive references list will point readers toward topics for future research. The algorithms outlined also make this textbook a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence.

目次

Introduction Fundamentals of Machine Learning and Softcomputing Multilayer Perceptrons Hopfield Networks and Boltzmann Machines Competitive Learning and Clustering Radial Basis Function Networks Principal Component Analysis Networks Fuzzy Logic and Neuro-fuzzy Systems Evolutionary Algorithms and Evolving Neural Networks Discussion and Outlook Appendix: Mathematical Preliminaries

「Nielsen BookData」 より

詳細情報

ページトップへ