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Neural Networks, Fuzzy Logic and Genetic Algorithms

Neural Networks, Fuzzy Logic and Genetic Algorithms


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About the Book

This book provides comprehensive introduction to a consortium of technologies underlying soft computing, an evolving branch of computational intelligence. The constituent technologies discussed comprise neural networks, fuzzy logic, genetic algorithms, and a number of hybrid systems which include classes such as neuro-fuzzy, fuzzy-genetic, and neuro-genetic systems. The hybridization of the technologies is demonstrated on architectures such as Fuzzy-Back-propagation Networks (NN-FL), Simplified Fuzzy ARTMAP (NN-FL), and Fuzzy Associative Memories. The book also gives an exhaustive discussion of FL-GA hybridization.

Every architecture has been discussed in detail through illustrative examples and applications. The algorithms have been presented in pseudo-code with a step-by-step illustration of the same in problems. The applications, demonstrative of the potential of the architectures, have been chosen from diverse disciplines of science and engineering.

This book with a wealth of information that is clearly presented and illustrated by many examples and applications is designed for use as a text for courses in soft computing at both the senior undergraduate and first-year post-graduate engineering levels. It should also be of interest to researchers and technologists desirous of applying soft computing technologies to their respective fields of work.About the AuthorProfessor Emeritus, Department of Civil Engineering, PSG College of Technology, Coimbatore.|Sr. Lecturer, Computer Applications, PSG College of Technology, Coimbatore


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Product Details
  • ISBN-13: 9788120321861
  • Publisher: PHI Learning
  • Height: 236 mm
  • No of Pages: 456
  • Series Title: English
  • Weight: 744 gr
  • ISBN-10: 8120321863
  • Binding: Mixed media product
  • Language: English
  • Returnable: Y
  • Spine Width: 21 mm
  • Width: 179 mm


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