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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
ASCII Text
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Hugh M. Cartwright, Rohan M Gunatillake, Les Sztandera, "Genetic Algorithms and Neural Networks in the Molecular Design of Novel Fibers," Database and Expert Systems Applications, International Workshop on, pp. 598-602, 17th International Conference on Database and Expert Systems Applications (DEXA'06), 2006.
 
 
BibTex
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@article{ 10.1109/DEXA.2006.64,
author = {Hugh M. Cartwright and Rohan M Gunatillake and Les Sztandera},
title = {Genetic Algorithms and Neural Networks in the Molecular Design of Novel Fibers},
journal ={Database and Expert Systems Applications, International Workshop on},
volume = {0},
year = {2006},
issn = {1529-4188},
pages = {598-602},
doi = {http://doi.ieeecomputersociety.org/10.1109/DEXA.2006.64},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Database and Expert Systems Applications, International Workshop on
TI - Genetic Algorithms and Neural Networks in the Molecular Design of Novel Fibers
SN - 1529-4188
SP598
EP602
A1 - Hugh M. Cartwright,
A1 - Rohan M Gunatillake,
A1 - Les Sztandera,
PY - 2006
KW - null
VL - 0
JA - Database and Expert Systems Applications, International Workshop on
ER -
 
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
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