Improving neural networks prediction accuracy using particle swarm optimization combiner

International Journal of Neural Systems

Volumn 19, Issue 5, 2009, Pages 387-393

  Elragal, Hassan M ^a  

^a UNIVERSITY OF BAHRAIN   (Bahrain)

Author keywords

Hybrid systems; Neural networks; Particle Swarm Optimization

Indexed keywords

ACCURATE PREDICTION; ARTIFICIAL NEURAL NETWORK; COMBINATION METHOD; ERROR BACK-PROPAGATION; FUNCTIONAL-LINK NETWORK; GAS UTILITY; HYPOTHESIS TESTING; MULTI-LAYER FEED-FORWARD NETWORKS; NATURAL GAS CONSUMPTION; NON-LINEAR; PREDICTION ACCURACY; TWO STAGE;

BACKPROPAGATION; ELECTRIC GROUNDING; GAS INDUSTRY; HYBRID COMPUTERS; HYBRID SYSTEMS; NATURAL GAS; NEURAL NETWORKS;

PARTICLE SWARM OPTIMIZATION (PSO);

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER SIMULATION; FORECASTING; METHODOLOGY; NONLINEAR SYSTEM;

ALGORITHMS; COMPUTER SIMULATION; FORECASTING; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED;

EID: 71049116352     PISSN: 01290657     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0129065709002099     Document Type: Article

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