On model selection criteria in reverse engineering gene networks using RNN model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7425 LNCS, Issue , 2012, Pages 155-164

  Noman, Nasimul ^a   Palafox, Leon ^a   Iba, Hitoshi ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

Akaike's Information Criteria; Differential Evolution; Mean Square Error; Recurrent Neural Network

Indexed keywords

DIFFERENTIAL EVOLUTION; ENGINEERING ALGORITHMS; ESTIMATED MODEL; FITNESS EVALUATIONS; FITNESS FUNCTIONS; GENE NETWORK MODELS; GENE NETWORKS; INFORMATION CRITERION; MODEL EVALUATION; MODEL SELECTION CRITERIA; MODELING APPROACH; REGULATION PROCESS; REVERSE-ENGINEERING GENETIC NETWORKS; WELL-ESTABLISHED TECHNIQUES;

EVOLUTIONARY ALGORITHMS; GENES; INFORMATION TECHNOLOGY; RECURRENT NEURAL NETWORKS; REVERSE ENGINEERING;

MEAN SQUARE ERROR;

EID: 84866007536     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-32645-5_20     Document Type: Conference Paper

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