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Volumn 87 CCIS, Issue PART 1, 2010, Pages 45-54

Handwritten digits recognition based on swarm optimization methods

Author keywords

artificial bee colony optimization; Handwritten digits recognition; Multi layer perceptron; particle swarm optimization; the bees' algorithm

Indexed keywords

ARABIC NUMERALS; ARTIFICIAL BEE COLONIES; BACKPROPAGATION LEARNING; BEES ALGORITHMS; COLONY OPTIMIZATION; COMPARATIVE STUDIES; FUNCTIONAL OPTIMIZATION; GENERALIZATION ABILITY; GRADIENT DESCENT; HANDWRITTEN DIGIT; HANDWRITTEN DIGITS RECOGNITION; MULTI LAYER PERCEPTRON; OPTIMIZATION METHOD; PARTICLE SWARM OPTIMIZERS; RECOGNITION RATES; RECOGNITION SYSTEMS; STATISTICAL CLASSIFIER; SWARM OPTIMIZATION; THE BEES' ALGORITHM; WORK PLACE;

EID: 77955737985     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-14292-5_6     Document Type: Conference Paper
Times cited : (10)

References (16)
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    • The Development of Neural Network Models by Revised Particle Swarm Optimization
    • Wu, P., Shieh, C.S., Kao, J.H.: The Development of Neural Network Models by Revised Particle Swarm Optimization. In: JCIS 2006, pp. 1951-6851 (2006), http://cui.unige.ch/AI-group/teaching/dmc/07-08/cours/dm06-mlp-handouts.pdf
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    • Wu, P.1    Shieh, C.S.2    Kao, J.H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.