Designing optimized pattern recognition systems by learning Voronoi vectors using genetic algorithms

Management Information Systems

Volumn 2, Issue , 2000, Pages 413-422

  Pereira, Cláudio M N A ^a,c   Schirru, Roberto ^b  

^a INSTITUTO DE ENGENHARIA NUCLEAR   (Brazil)

^b FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^c Universidade Iguacu   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); COGNITIVE SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; NEURAL NETWORKS; NUCLEAR POWER PLANTS; OPTIMIZATION; PATTERN RECOGNITION; VECTOR QUANTIZATION; VECTORS;

CLASSIFICATION RULES; LEARNING VECTOR QUANTIZATION (LVQ); VORONOI VECTORS;

GENETIC ALGORITHMS;

EID: 0011867635     PISSN: 14706326     EISSN: None     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (10)

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