In this paper, we first present a learning algorithm for dynamic recurrent Elman neural networks based on a dissimilation particle swarm optimization. The proposed algorithm computes concurrently both the evolution of network structure, weights, initial inputs of the context units, and self-feedback
โฆ LIBER โฆ
A new research of identification strategy based on particle swarm optimization and least square
โ Scribed by Tong Zhang; Yahui Wang; Anli Ye; Jian Wang; Jianchao Zeng
- Publisher
- SP Higher Education Press
- Year
- 2009
- Tongue
- English
- Weight
- 88 KB
- Volume
- 4
- Category
- Article
- ISSN
- 1673-3584
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