On the use of computational neural networks for the prediction of polymer properties

Journal of Thermal Analysis

Volumn 46, Issue 3-4, 1996, Pages 833-851

  Sumpter, B G ^a   Noid, D W ^a  

^a OAK RIDGE NATIONAL LABORATORY   (United States)

Author keywords

Complex backpropagation; Computational neural networks; Molecular structure; Physical and mechanical properties; Polymeric materials; Quantitative structure property relationships; Statistical regression; Unsupervised learning

Indexed keywords

BACKPROPAGATION; COMPRESSIVE STRENGTH; DEGRADATION; ELASTIC MODULI; GLASS TRANSITION; MOLECULAR STRUCTURE; OPTIMIZATION; POLYMERS; REGRESSION ANALYSIS; SPECIFIC HEAT; TEMPERATURE; TENSILE STRENGTH;

COMPUTATION NEURAL NETWORKS; ELONGATION; QUANTITATIVE STRUCTURE PROPERTY RELATIONSHIPS; UNSUPERVISED LEARNING;

NEURAL NETWORKS;

EID: 0030101886     PISSN: 03684466     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF01983605     Document Type: Article

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