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Hybrid Control of a Wind Induction Generator Based on Grey–Elman Neural Network

✍ Scribed by Lin, Whei-Min; Hong, Chih-Ming; Huang, Cong-Hui; Ou, Ting-Chia

Book ID
118247294
Publisher
IEEE
Year
2013
Tongue
English
Weight
496 KB
Volume
21
Category
Article
ISSN
1063-6536

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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