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Machine degradation analysis using fuzzy CMAC neural network approach

✍ Scribed by Rong-Zhen Xu; Le Xie; Min-Cong Zhang; Cong-Xin Li


Publisher
Springer
Year
2007
Tongue
English
Weight
309 KB
Volume
36
Category
Article
ISSN
0268-3768

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Stability analysis of neural net control
✍ Thomas Feuring; James J. Buckley; Wolfram-M. Lippe; Andreas Tenhagen πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 810 KB

Neural networks can only be trained with a crisp and finite data set. Therefore, the approximation quality of a trained network is hard to verify. So, a common way in proving stability of a trained neural net controller is to demonstrate the existence of a Lyapunov function. In this article we propo