Enhancement of particle swarm optimization in Elman recurrent network with bounded Vmax function
As the widespread modus operandi in real applications, Backpropagation(BP) in Recurrent Neural Networks (RNN) is computationally more powerful than standard feedforward neural networks. In principle, RNN can implement almost any arbitrary sequential behavior. However, there are many drawbacks in BP...
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| Main Authors: | , , |
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| Format: | Book Section |
| Published: |
IEEE
2009
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/14115/ http://dx.doi.org/10.1109/AMS.2009.90 |
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