Evolving neural networks: A comparison between differential evolution and particle swarm optimization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6728 LNCS, Issue PART 1, 2011, Pages 447-454

  Garro, Beatriz A ^a   Sossa, Humberto ^a   Vázquez, Roberto A ^b  

^a INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

^b UNIVERSIDAD LA SALLE   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BIO-INSPIRED ALGORITHMS; DIFFERENTIAL EVOLUTION; DIFFERENTIAL EVOLUTION ALGORITHMS; EVOLVING NEURAL NETWORK; LEARNING PHASE; NON-LINEAR OPTIMIZATION PROBLEMS; NONLINEAR PROBLEMS; OPTIMIZATION PROBLEMS; SYNAPTIC WEIGHT; TRAINING PHASE;

ALGORITHMS; CELLULAR AUTOMATA; NEURAL NETWORKS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 79958220789     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21515-5_53     Document Type: Conference Paper

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