Neural modelling of polypropylene fibre processing: Predicting the structure and properties and identifying the control parameters for specified fibres

Journal of Materials Science

Volumn 36, Issue 13, 2001, Pages 3113-3118

  Allan, G ^a   Yang, R ^a   Fotheringham, A ^a   Mather, R ^a  

^a HERIOT WATT UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CRYSTALLOGRAPHY; MOLECULAR ORIENTATION; MOLECULAR STRUCTURE; NEURAL NETWORKS; QUALITY CONTROL; SHRINKAGE; SYNTHETIC FIBERS; TENACITY;

FIBRE PROPERTIES;

POLYPROPYLENES;

EID: 0035394509     PISSN: 00222461     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1017913731041     Document Type: Article

References (10)

1. Learning internal representations by error propagation
2. Self-organised formation of topographically correct feature maps
3. What size net gives valid generalisation?