This paper discussed nonlinear active noise control (ANC). Some adaptive nonlinear noise control approaches using recurrent fuzzy neural networks (RFNNs) were derived. The proposed RFNNs were feed-forward fuzzy neural networks (NNs) with different local feedback connections that are used to construc
โฆ LIBER โฆ
Generalized predictive control using recurrent fuzzy neural networks for industrial processes
โ Scribed by Chi-Huang Lu; Ching-Chih Tsai
- Publisher
- Elsevier Science
- Year
- 2007
- Tongue
- English
- Weight
- 263 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0959-1524
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Adaptive recurrent fuzzy neural networks
โ
Qi-Zhi Zhang; Woon-Seng Gan; Ya-li Zhou
๐
Article
๐
2006
๐
Elsevier Science
๐
English
โ 480 KB
Model predictive control of an industria
โ
Kwaku O. Temeng; Phillip D. Schnelle; Thomas J. McAvoy
๐
Article
๐
1995
๐
Elsevier Science
๐
English
โ 883 KB
Intelligent prediction and control of a
โ
Ding Hong; Yang Shuzi; Xinbiao Zhu
๐
Article
๐
1993
๐
Elsevier Science
๐
English
โ 522 KB
Neural network based model predictive co
โ
Paisan Kittisupakorn; Piyanuch Thitiyasook; M.A. Hussain; Wachira Daosud
๐
Article
๐
2009
๐
Elsevier Science
๐
English
โ 684 KB
A multi-layer feedforward neural network model based predictive control scheme is developed for a multivariable nonlinear steel pickling process in this paper. In the acid baths three variables under controlled are the hydrochloric acid concentrations. The baths exhibit the normal features of an ind
Nonlinear adaptive aggressive control us
โ
Chi-Tai Lee; Ching-Chih Tsai
๐
Article
๐
2010
๐
Elsevier Science
๐
English
โ 659 KB
Implementation of self-tuning generalize
โ
Eduardo F. Camacho; Carlos Bordons
๐
Article
๐
1993
๐
John Wiley and Sons
๐
English
โ 501 KB