A comparison of methods for learning of highly non-separable problems

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

Volumn 5097 LNAI, Issue , 2008, Pages 566-577

  Grochowski, Marek ^a   Duch, Włodzisław ^a  

^a NICOLAUS COPERNICUS UNIVERSITY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; ARTIFICIAL INTELLIGENCE; CHLORINE COMPOUNDS; CYBERNETICS; EDUCATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; SEQUENTIAL SWITCHING; SOFT COMPUTING; STANDARDS;

BENCH-MARK PROBLEMS; CONSTRUCTIVE LEARNING; DIVIDE-AND-CONQUER; INTERNATIONAL CONFERENCES; LINEARLY SEPARABLE; MLP NETWORKS; MULTI-DIMENSIONAL PROBLEMS; NEURAL NETWORK ARCHITECTURES; PARITY FUNCTIONS; REASONABLE TIME; STANDARD MACHINES;

NEURAL NETWORKS;

EID: 48249150860     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69731-2_55     Document Type: Conference Paper

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