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Genetic algorithms and neural networks in the molecular design of novel fibers

Abstract:

A crucial task in polymer chemistry is the formulation of materials which satisfy strict property constraints. This paper describes the use of dynamic adaptive agents in the design of novel polymers. A neural network is used to predict the properties of a proposed polymer from its composition, while a genetic algorithm solves the inverse problem by acting as a search agent to find promising formulations. The resulting Hybrid Intelligent System provides a computationally efficient means of sea...

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Publication status:
Published

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Publisher copy:
10.1109/DEXA.2006.64

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Institution:
University of Oxford
Division:
MPLS
Department:
Chemistry
Sub department:
Physical & Theoretical Chem
Role:
Author
Pages:
598-602
Host title:
Seventeenth International Conference on Database and Expert Systems Applications, Proceedings
Publication date:
2006-01-01
DOI:
ISSN:
1529-4188
Source identifiers:
40110
ISBN:
0769526411
Pubs id:
pubs:40110
UUID:
uuid:b48d4ff9-562a-4903-bcfe-48ae79c96c88
Local pid:
pubs:40110
Deposit date:
2012-12-19

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