Bifurcation analysis of a cellular nonlinear network model via neural network approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-013-1338-6.pdf
Reference19 articles.
1. Agranovich G, Litsyn E, Slavova A (2009) Impulsive control of a hysteresis cellular neural network model. Nonlinear Anal Hybrid Syst 3:65–73
2. Chua LO (1988) CNN: a paradigm for complexity. World Scientific Series on Nonlinear Science, A, 31
3. Chua LO, Yang L (1988) Cellular neural network: theory and application. IEEE Trans CAS 35:1257–1290
4. Chua LO, Hasler M, Moschytz GS, Neirynsk J (1995) Autonomous cellular neural networks: a unified paradigm for pattern formation and active wave propagation. IEEE Trans CAS-I 42(10):559–577
5. Roska T, Chua LO, Wolf D, Kozek T, Tetzlaff R, Puffer F (1995) Simulating nonlinear waves and partial differential equations via CNN—part I: basic techniques. IEEE Trans CAS-I 42(10):807–815
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