Hunter, Andrew and Hare, G. and Brown, K. (1997) Genetic design of real-time neural network controllers. Journal of Neural Computing and Applications, 6 (1). pp. 12-18. ISSN 0941-0643
Full text not available from this repository. (Request a copy)Abstract
The use of genetic algorithms to design neural networks for real-time control of flows in sewerage networks is discussed. In many control applications, standard supervised learning techniques (such as back-propagation) cannot be used through lack of training data. Reinforcement learning techniques, such as genetic algorithms, are a computationally-expensive but viable alternative if a simulator is available for the system in question. The paper briefly describes why genetic algorithms and neural networks were selected, then reports the results of a feasibility study. This demonstrates that the approach does indeed have merits. The implications of high computational cost are discussed, in terms of scaling up to significantly complex problems.
| Item Type: | Article |
|---|---|
| Additional Information: | The use of genetic algorithms to design neural networks for real-time control of flows in sewerage networks is discussed. In many control applications, standard supervised learning techniques (such as back-propagation) cannot be used through lack of training data. Reinforcement learning techniques, such as genetic algorithms, are a computationally-expensive but viable alternative if a simulator is available for the system in question. The paper briefly describes why genetic algorithms and neural networks were selected, then reports the results of a feasibility study. This demonstrates that the approach does indeed have merits. The implications of high computational cost are discussed, in terms of scaling up to significantly complex problems. |
| Keywords: | Flow systems, Genetic algorithms, Neural networks, Real-time control, Reinforcement learning |
| Subjects: | G Mathematical and Computer Sciences > G400 Computer Science |
| Divisions: | College of Sciences > Faculty of Science > Lincoln School of Computer Science |
| Depositing User: | Rosaline Smith |
| Date Deposited: | 14 Jul 2010 13:22 |
| Last Modified: | 18 Jul 2011 16:27 |
| URI: | http://eprints.lincoln.ac.uk/id/eprint/2780 |
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