Dimensions
DimensionsMelo, 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. ISSN 21903018
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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 |
|---|---|
| Additional Information: | 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) |
| Depositing User: | Mr Ahmad Suhairi UTP |
| Date Deposited: | 09 Nov 2023 16:37 |
| Last Modified: | 09 Nov 2023 16:37 |
| URI: | https://khub.utp.edu.my/scholars/id/eprint/10956 |
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