Genetic Algorithms for Pattern Recognition

ISBN-13: 9781138558885 / Angielski / Miękka / 2019 / 336 str.

Sankar K. Pal; Paul P. Wang

Opis

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.

Spis treści

Fitness Evaluation in Genetic Algorithms with Ancestors' Influence, S. De, A. Ghosh, and S.K. Pal
The Walsh Transform and the Theory of the Simple Genetic Algorithm, M.D. Vose and A.H. Wright
Adaptation in Genetic Algorithms, L.M. Patnaik and M. Srinivas
An Empirical Evaluation of Genetic Algorithms on Noisy Objective Functions, K. Mathias, D. Whitley, A. Kusuma, and C. Stork
Generalization of Heuristics Learned in Genetics-Based Learning, B.W. Wah, A. Ieumwananonthachai, and Y.-C. Li
Genetic Algorithm-Based Pattern Classification: Relationship with Bayes Classifier, C.A. Murthy, S. Bandyopadhyay, and S.K. Pal
Genetic Algorithms and Recognition Problems, H. Van Hove and A. Verschoren
Mesoscale Feature Labeling from Satellite Images, B.P. Buckles, F.E. Petry, D. Prabhu, and M. Lybanon
Learning to Learn with Evolutionary Growth Perceptrons, S.G. Romaniuk
Genetic Programming of Logic-Based Neural Networks, V.C. Gaudet
Construction of Fuzzy Classification Systems with Linguistic If-Then Rules Using Genetic Algorithms, H. Ishibuchik, T. Murata, and H. Tanaka
A Genetic Algorithm Method for Optimizing the Fuzzy Component of a Fuzzy Decision Tree, C.Z. Janikow
Genetic Design of Fuzzy Controllers, M.G. Cooper and J.J. Vidal
Index