Radial basis function neural network based on pso with mutation operation to solve function approximation problem

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

Volumn 6146 LNCS, Issue PART 2, 2010, Pages 92-99

  Liu, Xiaoyong ^a,b,c  

^a GUANGDONG POLYTECHNIC NORMAL UNIVERSITY   (China)

^b CHINESE ACADEMY OF SCIENCES   (China)

^c UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Function Approximation; Genetic Algorithm; Particle Swarm Optimization; Radial Basis Function Neural Network (RBFNN)

Indexed keywords

FUNCTION APPROXIMATION; FUNCTION APPROXIMATION PROBLEMS; GRADIENT LEARNING; MUTATION OPERATIONS; PARTICLE SWARM OPTIMIZATION ALGORITHM; RADIAL BASIS FUNCTION NEURAL NETWORKS; SUM SQUARE ERROR;

APPROXIMATION ALGORITHMS; ATTITUDE CONTROL; CELLULAR AUTOMATA; LEARNING ALGORITHMS; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); RADIAL BASIS FUNCTION NETWORKS;

GENETIC ALGORITHMS;

EID: 77954651045     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13498-2_13     Document Type: Conference Paper

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