Scholarly PublicationMelo, H. and Zhang, H. and Vasant, P. and Watada, J. (2018) Training method for a feed forward neural network based on meta-heuristics. Smart Innovation, Systems and Technologies, 82. pp. 378-385.
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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....
Abstract
This paper proposes a Gaussian-Cauchy Particle Swarm Optimization (PSO) algorithm to provide the optimized parameters for a Feed Forward Neural Network. The improved PSO trains the Neural Network by optimizing the network weights and bias in the Neural Network. In comparison with the Back Propagation Neural Network, the Gaussian-Cauchy PSO Neural Network converges faster and is immune to local minima. © Springer International Publishing AG 2018.
| Item Type: | Article |
|---|---|
| Impact Factor: | cited By 0; Conference of 13th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2017 ; Conference Date: 12 August 2017 Through 15 August 2017; Conference Code:195379 |
| Uncontrolled Keywords: | Backpropagation; Gaussian distribution; Heuristic methods; Multimedia signal processing; Neural networks; Optimization; Signal processing, Back propagation neural networks; Cauchy distribution; Meta heuristics; Network weights; Optimized parameter; Particle swarm optimization algorithm; Training algorithms; Training methods, Particle swarm optimization (PSO) |
| Departments / MOR / COE: | Research Institutes > Institute for Autonomous Systems |
| Depositing User: | Mr Ahmad Suhairi Mohamed Lazim |
| Date Deposited: | 01 Aug 2018 01:09 |
| Last Modified: | 20 Feb 2019 01:52 |
| URI: | http://scholars.utp.edu.my/id/eprint/21979 |
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