This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
17th International Conference on Database and Expert Systems Applications (DEXA'06)
Genetic Algorithms and Neural Networks in the Molecular Design of Novel Fibers
Krakow, Poland
September 04-September 08
ISBN: 0-7695-2641-1
Hugh M. Cartwright, Oxford University, UK
Rohan M Gunatillake, Oxford University, UK
Les Sztandera, Philadelphia University, U.S.A
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 searching the virtual space defined by the set of all feasible polymers. We report here results from two initial studies.
Citation:
Hugh M. Cartwright, Rohan M Gunatillake, Les Sztandera, "Genetic Algorithms and Neural Networks in the Molecular Design of Novel Fibers," dexa, pp.598-602, 17th International Conference on Database and Expert Systems Applications (DEXA'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.