Sankar K Pal, Paul P Wang

Genetic Algorithms for Pattern Recognition

• Gebundenes Buch

Produktbeschreibung

Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms - a computational method based on the way chromosomes in DNA recombine - these problems are more efficiently and more accurately solved.

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Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 336
• Erscheinungstermin: 20. September 2017
• Englisch
• Abmessung: 234mm x 156mm x 21mm
• Gewicht: 649g
• ISBN-13: 9781138105577
• ISBN-10: 1138105570
• Artikelnr.: 50496429

Autorenporträt

Sankar K. Pal, Paul P. Wang

Inhaltsangabe

1.Fitness Evaluation in Genetic Algorithms with Ancestors' Influence 2. The
Walsh Transform and the Theory of the Simple Genetic Algorithm 3.
Adaptation in Genetic Algorithms 4. An Empirical Evaluation of Genetic
Algorithms on Noisy Objective Functions 5. Generalization of Heuristics
Learned in Genetics-Based Learning 6. Genetic Algorithm-Based Pattern
Classification: Relationship with Bayes Classifier 7. Genetic Algorithms
and Recognition Problems 8. Mesoscale Feature Labeling from Satellite
Images 9. Learning to Learn with Evolutionary Growth Perceptrons 10.
Genetic Programming of Logic-Based Neural Networks 11. Construction of
Fuzzy Classification Systems with Linguistic If-Then Rules Using Genetic
Algorithms 12. A Genetic Algorithm Method for Optimizing the Fuzzy
Component of a Fuzzy Decision Tree 13. Genetic Design of Fuzzy Controllers.
Index.