Enhancement of quantum particle swarm optimization in elman recurrent network with bounded VMAX function
There are many drawbacks in BP network, such as trap into local minima and may get stuck at regions of a search space. To solve these problems, Particle Swarm Optimization (PSO) has been executed to improve ANN performance. In this study, we exploit errors optimization of Elman Recurrent Neural Netw...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM Press
2016
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/71207/1/MohamadFirdausAb2016_Enhancementofquantumparticleswarm.pdf http://eprints.utm.my/id/eprint/71207/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006049222&doi=10.11113%2fjt.v78.10121&partnerID=40&md5=560cdc1fdd2a5aecac9808e14210694c |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |