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Volumn , Issue , 2009, Pages 3255-3259
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A neural network learning algorithm based on hybrid particle swarm optimization
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Author keywords
Feedforward neural network; Hybrid algorithm; Particle swarm optimization; Simplex method
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Indexed keywords
CONVERGENCE SPEED;
CROSS TRAINING;
EXPANSION FUNCTION;
GLOBAL OPTIMUM;
HYBRID ALGORITHM;
HYBRID ALGORITHMS;
HYBRID LEARNING ALGORITHM;
HYBRID PARTICLE SWARM OPTIMIZATION;
LOCAL SEARCHING;
NEURAL NETWORK LEARNING;
NEURAL NETWORK LEARNING ALGORITHM;
SIMPLEX METHOD;
SIMPLEX METHODS;
SIMULATION EXPERIMENTS;
TRADITIONAL LEARNING;
COMPUTER SIMULATION;
CONVERGENCE OF NUMERICAL METHODS;
FEEDFORWARD NEURAL NETWORKS;
LEARNING ALGORITHMS;
LEARNING SYSTEMS;
MATHEMATICAL OPERATORS;
NETWORK PERFORMANCE;
PERSONNEL TRAINING;
SYSTEMS ENGINEERING;
PARTICLE SWARM OPTIMIZATION (PSO);
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EID: 70449397574
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/CCDC.2009.5192123 Document Type: Conference Paper |
Times cited : (2)
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References (10)
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