설명
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).
책 세부 정보
형식
킨들
페이지
352 페이지
언어
영어
출판됨
Jan 5, 2010
출판사
Wiley-ISTE
판본
판본 2개
ISBN-10
0470393947
ISBN-13
9780470393949