A new hybrid evolutionary mechanism based on unsupervised learning for Connectionist Systems

Neurocomputing

Volumn 70, Issue 16-18, 2007, Pages 2799-2808

  Porto, Ana ^a   Araque, Alfonso ^b   Rabuñal, Juan ^a   Dorado, Julián ^a   Pazos, Alejandro ^a  

^a UNIVERSITY OF A CORUÑA   (Spain)

^b INSTITUTO CAJAL   (Spain)

Author keywords

Artificial Neural Networks; Brain computational models; Connectionist Systems; Genetic Algorithms; Hybrid learning method

Indexed keywords

BRAIN; COMPUTATIONAL METHODS; FEEDFORWARD NEURAL NETWORKS; GENETIC ALGORITHMS; MATHEMATICAL MODELS; MULTILAYER NEURAL NETWORKS;

BRAIN COMPUTATIONAL MODELS; CONNECTIONIST SYSTEMS; HYBRID LEARNING METHOD;

UNSUPERVISED LEARNING;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN CELL; CELL FUNCTION; COMPUTER SIMULATION; CONTROLLED STUDY; GENETIC ALGORITHM; LEARNING; NERVE CELL; PRIORITY JOURNAL; PROBLEM SOLVING; SYNAPTIC TRANSMISSION;

EID: 34548147062     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2006.06.010     Document Type: Article

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