Prediction of the logarithmic of partition coefficients (log P) of some organic compounds by least square-support vector machine (LS-SVM)

Molecular Physics

Volumn 106, Issue 21-23, 2008, Pages 2525-2535

  Goudarzi, Nasser ^a   Goodarzi, Mohammad ^b  

^a SHAHROOD UNIVERSITY OF TECHNOLOGY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Artificial neural network; Least square support vector machine; MLR; Quantitative structure property relationship; Support vector regression

Indexed keywords

ALCOHOLS; BACKPROPAGATION; CORRELATION METHODS; CURVE FITTING; FORECASTING; IMAGE RETRIEVAL; NEURAL NETWORKS; ORGANIC COMPOUNDS; PHENOLS; REGRESSION ANALYSIS; RESEARCH AIRCRAFT; SULFUR COMPOUNDS; TWO PHASE FLOW; VECTORS;

ARTIFICIAL NEURAL NETWORK; LEAST SQUARE-SUPPORT VECTOR MACHINE; MLR; QUANTITATIVE STRUCTURE-PROPERTY RELATIONSHIP; SUPPORT VECTOR REGRESSION;

SUPPORT VECTOR MACHINES;

EID: 57749099023     PISSN: 00268976     EISSN: 13623028     Source Type: Journal    
DOI: 10.1080/00268970802577834     Document Type: Article

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