Prediction of internal bond strength in a medium density fiberboard process using multivariate statistical methods and variable selection

Wood Science and Technology

Volumn 42, Issue 7, 2008, Pages 521-534

  André, Nicolas ^a   Cho, Hyun Woo ^b   Baek, Seung Hyun ^b   Jeong, Myong Kee ^b   Young, Timothy M ^a  

^a UNIVERSITY OF TENNESSEE   (United States)

^b University of Tennessee   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; ATTITUDE CONTROL; BOND STRENGTH (MATERIALS); CALIBRATION; COMPUTER NETWORKS; CURVE FITTING; DECISION SUPPORT SYSTEMS; FEEDFORWARD NEURAL NETWORKS; FINANCIAL DATA PROCESSING; FORECASTING; GENETIC ALGORITHMS; IMAGE SEGMENTATION; INFORMATION MANAGEMENT; LEAST SQUARES APPROXIMATIONS; PRINCIPAL COMPONENT ANALYSIS; PROBABILISTIC LOGICS; STATISTICAL METHODS; STRENGTH OF MATERIALS;

VARIABLE SELECTION;

NEURAL NETWORKS;

EID: 50949112043     PISSN: 00437719     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00226-008-0204-7     Document Type: Article

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