Description
This book describes the optimization methods most commonly encountered in signal and image artificial evolution and Parisian approach; wavelets and fractals; information criteria; training and quadratic programming; Bayesian formalism; probabilistic modeling; Markovian approach; hidden Markov models; and metaheuristics (genetic algorithms, ant colony algorithms, cross-entropy, particle swarm optimization, estimation of distribution algorithms, and artificial immune systems).
Book Details
Format
Kindle
Pages
352 pages
Language
English
Published
Jan 5, 2010
Publisher
Wiley-ISTE
Editions
2 editions
ISBN-10
0470393947
ISBN-13
9780470393949