Inductive Learning Algorithms for Complex Systems Modeling

H.R. Madala

© 1993 - CRC Press
Published December 13, 2017
Reference - 380 Pages
ISBN 9781315894393 - CAT# K347671

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Features

  • Discusses algorithm development, structure, and behavior
  • Presents comprehensive coverage of algorithms useful for complex systems modeling
  • Includes recent studies on clusterization and recognition problems
  • Provides listings of algorithms in FORTRAN that can be run directly on IBM-compatible PCs
  • Summary

    Inductive Learning Algorithms for Complex Systems Modeling is a professional monograph that surveys new types of learning algorithms for modeling complex scientific systems in science and engineering. The book features discussions of algorithm development, structure, and behavior; comprehensive coverage of all types of algorithms useful for this subject; and applications of various modeling activities (e.g., environmental systems, noise immunity, economic systems, clusterization, and neural networks). It presents recent studies on clusterization and recognition problems, and it includes listings of algorithms in FORTRAN that can be run directly on IBM-compatible PCs.

    Inductive Learning Algorithms for Complex Systems Modeling will be a valuable reference for graduate students, research workers, and scientists in applied mathematics, statistics, computer science, and systems science disciplines. The book will also benefit engineers and scientists from applied fields such as environmental studies, oceanographic modeling, weather forecasting, air and water pollution studies, economics, hydrology, agriculture, fisheries, and time series evaluations.

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