Structure optimization of neural network for dynamic system modeling using multi-objective genetic algorithm
The problem of constructing an adequate and parsimonious neural network topology for modeling non-linear dynamic system is studied and investigated. Neural networks have been shown to perform function approximation and represent dynamic systems. The network structures are usually guessed or selected...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Springer
2012
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/33553/ http://dx.doi.org/10.1007/s00521-011-0560-3 |
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| Institution: | Universiti Teknologi Malaysia |