A group search optimization based on improved small world and its application on neural network training in ammonia synthesis

Neurocomputing

Volumn 97, Issue , 2012, Pages 94-107

  Yan, Xingdi ^a   Yang, Wen ^a   Shi, Hongbo ^a  

^a China   (China)

Author keywords

Ammonia synthesis; Group search optimization; Neural network; Small world topology

Indexed keywords

AMMONIA CONCENTRATIONS; AMMONIA SYNTHESIS; BENCHMARK FUNCTIONS; COMPLEX NETWORKS; FACTORIAL DESIGN; FERTILIZER PLANT; GLOBAL OPTIMIZATION PROBLEMS; HIGH DIMENSIONS; NEURAL NETWORK TRAINING; NUMERICAL EXAMPLE; PREMATURE CONVERGENCE; SEARCH OPTIMIZATION; SMALL WORLD TOPOLOGY; SMALL WORLDS; SOFT SENSOR MODELS;

ALGORITHMS; BENCHMARKING; GLOBAL OPTIMIZATION; KINETIC THEORY; NEURAL NETWORKS; SENSORS;

OPTIMIZATION;

AMMONIA;

ACCURACY; ALGORITHM; AMMONIFICATION; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOSENSOR; COMPLEX FORMATION; COMPUTER PROGRAM; CONCENTRATION (PARAMETERS); FACTORIAL DESIGN; GROUP SEARCH OPTIMIZATION ALGORITHM; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS MODEL; PROCESS OPTIMIZATION; QUALITY CONTROL;

EID: 84865345080     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.06.001     Document Type: Article

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