Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training

BMC Bioinformatics

Volumn 7, Issue , 2006, Pages

  Meissner, Michael ^a   Schmuker, Michael ^a   Schneider, Gisbert ^a  

^a GOETHE UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE OPTIMIZATION; CONCEPTUAL SIMPLICITY; CONVERGENCE BEHAVIORS; NEURAL NETWORK TRAINING; PARAMETER COMBINATION; PARAMETER OPTIMIZATION; QUANTITATIVE MODELING; SMALL ORGANIC MOLECULES;

NEURAL NETWORKS;

PARTICLE SWARM OPTIMIZATION (PSO);

ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOINFORMATICS; BLOOD BRAIN BARRIER; INTERMETHOD COMPARISON; MATHEMATICAL MODEL; MATHEMATICAL PARAMETERS; PARTICLE SIZE; PROCESS OPTIMIZATION; VALIDATION PROCESS; ALGORITHM; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CELL MEMBRANE PERMEABILITY; COMPUTER SIMULATION; HUMAN; METABOLISM; PHYSIOLOGY; PROCEDURES;

PLASMA PROTEIN;

ALGORITHMS; BLOOD PROTEINS; BLOOD-BRAIN BARRIER; CELL MEMBRANE PERMEABILITY; COMPUTER SIMULATION; HUMANS; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED;

EID: 33646733849     PISSN: 14712105     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-7-125     Document Type: Article

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