Takagi–Sugeno Fuzzy Hopfield Neural Networks for $${\mathcal{H}_{\infty}}$$ Nonlinear System Identification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
http://link.springer.com/content/pdf/10.1007/s11063-011-9183-z.pdf
Reference26 articles.
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2. Hopfield J (1984) Neurons with grade response have collective computational properties like those of a two-state neurons. Proc Natl Acad Sci USA 81: 3088–3092
3. Gupta MM, Jin L, Homma N (2003) Static and dynamic neural networks. Wiley-Interscience, New York
4. Takagi T, Sugeno M (1985) Fuzzy identification of systems and its applications to modeling and control. IEEE Trans Syst Man Cybern 15: 116–132
5. Tanaka K, Sugeno M (1992) Stability analysis and design of fuzzy control systems. Fuzzy Sets Syst 45: 135–156
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