Using genetic algorithms to optimize artificial neural networks

Journal of Convergence Information Technology

Volumn 5, Issue 8, 2010, Pages 6-

  Ding, Shifei ^a,b   Xu, Li ^a   Su, Chunyang ^a   Zhu, Hong ^a  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

^b INSTITUTE OF COMPUTING TECHNOLOGY   (China)

Author keywords

Artificial neural networks (ANNs); Genetic algorithms (GAs); Network architecture; Network weights

Indexed keywords

ADAPTIVE INFORMATION; APPROXIMATE OPTIMAL SOLUTIONS; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; BASIC PRINCIPLES; BASIC THEORY; DEVELOPMENT TRENDS; ERROR FUNCTION; GLOBAL SEARCH ABILITY; GRADIENT INFORMATIONS; LEARNING RULES; MACHINE-LEARNING; NETWORK TOPOLOGY; NETWORK WEIGHTS; RANDOM SEARCH ALGORITHM; RESEARCH PROGRESS;

DATA MINING; DATA PROCESSING; ELECTRIC NETWORK TOPOLOGY; GASES; GENETIC ALGORITHMS; LEARNING ALGORITHMS; NETWORK PERFORMANCE; NEURAL NETWORKS; OPTIMIZATION; SURVEYS;

NETWORK ARCHITECTURE;

EID: 78651592797     PISSN: 19759320     EISSN: None     Source Type: Journal    
DOI: 10.4156/jcit.vol5.issue8.6     Document Type: Article

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