Diagnosing anorexia based on partial least squares, back propagation neural network, and support vector machines

Journal of Chemical Information and Computer Sciences

Volumn 44, Issue 6, 2004, Pages 2040-2046

  Zhao, C Y ^a   Zhang, R S ^a   Liu, H X ^a   Xue, C X ^a   Zhao, S G ^a   Zhou, X F ^a   Liu, M C ^a   Fan, B T ^b  

^a LANZHOU UNIVERSITY   (China)

^b UNIVERSITÉ PARIS DESCARTES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; DIAGNOSIS; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; NEURAL NETWORKS; PROTEINS;

ANOREXIA; DRUG DESIGN; PARTIAL LEAST SQUARES; SUPPORT VECTOR MACHINE (SVM);

DISEASES;

ANOREXIA; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; THEORETICAL MODEL;

ANOREXIA; ARTIFICIAL INTELLIGENCE; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER);

EID: 10044235707     PISSN: 00952338     EISSN: None     Source Type: Journal    
DOI: 10.1021/ci049877y     Document Type: Article

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