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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Bibliographic Details
Main Authors: Ab. Aziz, Mohamad Firdaus, Shamsuddin, Siti Mariyam
Format: Article
Language:English
Published: Penerbit UTM Press 2016
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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