SCOPUS 정보 검색 플랫폼

Computers and Mathematics with Applications

Volumn 57, Issue 11-12, 2009, Pages 2009-2015

Real-coded chaotic quantum-inspired genetic algorithm for training of fuzzy neural networks

(4) Zhao, Shuanfeng a,c Xu, Guanghua a Tao, Tangfei a,b Liang, Lin a

a XI'AN JIAOTONG UNIVERSITY (China)

b XI'AN JIAOTONG UNIVERSITY (China)

c XI'AN UNIVERSITY OF SCIENCE AND TECHNOLOGY (China)

Author keywords

Fuzzy neural; Networks chaotic; Quantum inspired genetic algorithm

Indexed keywords

CHAOS MUTATIONS; EVOLUTION PROCESS; FASTER CONVERGENCES; FUZZY NEURAL; GRADIENT-BASED METHODS; LEARNING METHODS; LEARNING PROCESS; LOCAL MINIMUMS; NETWORKS CHAOTIC; NON-LINEAR FUNCTIONS; QUANTUM GENETIC ALGORITHMS; QUANTUM-INSPIRED GENETIC ALGORITHM; RANDOM SEARCHES; REAL NUMBERS; REAL-CODED; SEARCHING SPEED; SIMULATION RESULTS; SOLUTION SPACES;

CHROMOSOMES; EDUCATION; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; LEARNING ALGORITHMS; NUMBER THEORY;

FUZZY NEURAL NETWORKS;

EID: 67349237504 PISSN: 08981221 EISSN: None Source Type: Journal
DOI: 10.1016/j.camwa.2008.10.048 Document Type: Article

Times cited : (66)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.