A hybrid particle swarm optimization and its application in neural networks

Expert Systems with Applications

Volumn 39, Issue 1, 2012, Pages 395-405

  Leung, S Y S ^a   Tang, Yang ^a,b   Wong, W K ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b DONGHUA UNIVERSITY   (China)

Author keywords

Fisher ratio class separability measure (FRCSM); Markov chain; Orthogonal least square algorithm (OLSA); Particle swarm optimization; Radial basis function neural networks (RBFNNs)

Indexed keywords

CLASS SEPARABILITY MEASURE; MARKOV CHAIN; ORTHOGONAL LEAST SQUARE ALGORITHMS; PARTICLE SWARM; RADIAL BASIS FUNCTION NEURAL NETWORKS;

ALGORITHMS; BENCHMARKING; MARKOV PROCESSES; MATHEMATICAL MODELS; NEURAL NETWORKS; ORTHOGONAL FUNCTIONS; PARTICLE SWARM OPTIMIZATION (PSO);

RADIAL BASIS FUNCTION NETWORKS;

EID: 81855195351     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.07.028     Document Type: Article

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