NDLI: Bounded PSO Vmax Function in Neural Network Learning

Content Provider	IEEE Xplore Digital Library
Author	Lee, Y.S. Shamsuddin, S.M. Hamed, H.N.
Copyright Year	2008
Description	Author affiliation: Fac. of Comput. Sci. & Inf. Syst., Univ. Technol. Malaysia, Skudai (Lee, Y.S.; Shamsuddin, S.M.; Hamed, H.N.)
Abstract	Typically, back propagation (BP) algorithm is the most widespread technique in Artificial Neural Network (ANN learning). However, major disadvantages of BP are due to its convergence rate sluggishness and always being trapped at the local minima. Consequently, Particle Swarm Optimization(PSO) is chosen and applied in feed forward neural network to enhance the network learning. In conventional PSO, maximum velocity Vmax is exploited to serve as a constraint that controls the maximum global exploration ability of PSO. By setting these values too small cause the limitation of maximum global exploration. Hence, PSO will always favor for a local search regardless the values of weight inertia. However, by setting to a large maximum velocity, PSO can have a large range of exploration ability. Therefore, in this study, we proposed different bounded functions of PSO Vmax to control the global exploration of particles. The results show that bounded Vmax of hyperbolic tangent function furnish promising outcomes compared to bounded Vmax sigmoid function and standard Vmax function.
Starting Page	474
Ending Page	479
File Size	289608
Page Count	6
File Format	PDF
ISBN	9780769533827
DOI	10.1109/ISDA.2008.156
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-26
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neurons Artificial neural networks Birds Feedforward neural networks Particle swarm optimization Biological neural networks Multi-layer neural network Vmax function Artificial Neural Network Neural networks Feeds Intelligent systems Particle Swarm Optimization
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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