Predicting the internal bond strength of particleboard, utilizing a radial basis function neural network

Engineering Applications of Artificial Intelligence

Volumn 10, Issue 2, 1997, Pages 171-177

  Cook, Deborah F ^a,c   Chiu, Chih Chou ^b  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^b FU JEN CATHOLIC UNIVERSITY   (Taiwan)

^c PAMPLIN COLLEGE OF BUSINESS   (United States)

Author keywords

Conscience functions; Neural networks; Prediction; Process modeling; Radial basis functions

Indexed keywords

ALGORITHMS; BOND STRENGTH (MATERIALS); LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; PARTICLE BOARD; STATISTICAL METHODS;

INTERNAL BOND STRENGTH; PROCESS MODELING; RADIAL BASIS FUNCTION (RBF) NEURAL NETWORKS;

COMPUTER AIDED MANUFACTURING;

EID: 0031122208     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0952-1976(96)00068-1     Document Type: Article

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