Computational Intelligence Based on Lattice Theory

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  • Computational Intelligence Based on Lattice Theory Book Detail

  • Author : Vassilis G. Kaburlasos
  • Release Date : 2007-06-26
  • Publisher : Springer
  • Genre : Computers
  • Pages : 375
  • ISBN 13 : 354072687X
  • File Size : 42,42 MB

Computational Intelligence Based on Lattice Theory by Vassilis G. Kaburlasos PDF Summary

Book Description: This eighteen-chapter book presents the latest applications of lattice theory in Computational Intelligence (CI). The book focuses on neural computation, mathematical morphology, machine learning, and (fuzzy) inference/logic. The book comes out of a special session held during the World Council for Curriculum and Instruction World Conference (WCCI 2006). The articles presented here demonstrate how lattice theory may suggest viable alternatives in practical clustering, classification, pattern analysis, and regression applications.

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Lattice theory extends into virtually every branch of mathematics, ranging from measure theory and convex geometry to probability theory and topology. A more re