Evolving RBF neural networks for rainfall prediction using hybrid particle swarm optimization and genetic algorithm

Neurocomputing

Volumn 148, Issue , 2015, Pages 136-142

  Wu, Jiansheng ^a   Long, Jin ^b   Liu, Mingzhe ^c  

^a WUHAN UNIVERSITY OF TECHNOLOGY   (China)

^b GUANGXI RESEARCH INSTITUTE OF METEOROLOGICAL DISASTERS MITIGATION   (China)

^c CHENGDU UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Genetic algorithm; Particle swarm optimization; Radial basis function neural network; Rainfall prediction

Indexed keywords

FUNCTIONS; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; RADIAL BASIS FUNCTION NETWORKS; RAIN; WEATHER FORECASTING;

BASIS FUNCTION NEURAL NETWORKS; CROSSOVER AND MUTATION; GENERALIZATION ABILITY; HYBRID EVOLUTIONARY ALGORITHM; HYBRID PARTICLE SWARM OPTIMIZATION; PRE-MATURE CONVERGENCES; RADIAL BASIS FUNCTION NEURAL NETWORKS; RAINFALL PREDICTION;

PARTICLE SWARM OPTIMIZATION (PSO);

RAIN;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; EVALUATION STUDY; EVOLUTIONARY ALGORITHM; HYBRID PARTICLE SWARM OPTIMIZATION INTO GENETIC ALGORITHM; MATHEMATICAL COMPUTING; PREDICTION AND FORECASTING; PREDICTIVE VALUE; PROBLEM SOLVING; PROCESS OPTIMIZATION; RADIAL BASIS FUNCTION NEURAL NETWORK; TASK PERFORMANCE; VALIDATION PROCESS;

EID: 85027947823     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.10.043     Document Type: Article

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