K-CM: A new artificial neural network. Application to supervised pattern recognition

Chemometrics and Intelligent Laboratory Systems

Volumn 138, Issue , 2014, Pages 110-119

  Buscema, M ^a,b   Consonni, V ^c   Ballabio, D ^c   Mauri, A ^c   Massini, G ^a   Breda, M ^a   Todeschini, R ^c  

^a Research Center of Sciences of Communication   (Italy)

^b UNIVERSITY OF COLORADO   (United States)

^c UNIVERSITY OF MILANO BICOCCA   (Italy)

Author keywords

Artificial neural networks; Auto CM; Classification; K NN; QSAR; TWIST algorithm

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; BAYESIAN LEARNING; CLASSIFICATION ALGORITHM; DECISION MAKING; FUZZY SYSTEM; INFORMATION PROCESSING; K CONTRACTIVE MAP; K NEAREST NEIGHBOR; NONLINEAR SYSTEM; PRIORITY JOURNAL; PROBLEM SOLVING; PROCESS OPTIMIZATION; SYSTEM ANALYSIS; THEORY VALIDATION; ALGORITHM; COMPUTER PROGRAM; MATHEMATICAL MODEL; PATTERN RECOGNITION; QUALITY CONTROL; REGRESSION ANALYSIS; TRAINING WITH INPUT SELECTION AND TESTING ALGORITHM;

EID: 84905689312     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2014.06.013     Document Type: Article

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