Anti-periodic solutions for high-order cellular neural networks with time-varying delays.
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Anti-periodic solutions for recurrent neural networks without assuming global Lipschitz conditions.
Zhang, Hong, Wu, Yuanheng (2010)
Electronic Journal of Differential Equations (EJDE) [electronic only]
Application of Neural Networks to Modal Split Modelling
Jadranka Jović (1997)
The Yugoslav Journal of Operations Research
Application of Neural-Net Computing to Transient Stability Assessment and Enhancement of Electric Power Systems
Miodrag Đukanović, Mirko Milić, Dejan J. Šobajić, Yoh-Han Pao (1993)
The Yugoslav Journal of Operations Research
Approximating the Stability Region for a Differential Equation with a Distributed Delay
S. A. Campbell, R. Jessop (2009)
Mathematical Modelling of Natural Phenomena
We discuss how distributed delays arise in biological models and review the literature on such models. We indicate why it is important to keep the distributions in a model as general as possible. We then demonstrate, through the analysis of a particular example, what kind of information can be gained with only minimal information about the exact distribution of delays. In particular we show that a distribution independent stability region may be obtained in a similar way that delay independent...
Approximation of phenol concentration using novel hybrid computational intelligence methods
Paweł Pławiak, Ryszard Tadeusiewicz (2014)
International Journal of Applied Mathematics and Computer Science
Asymptotical mean square stability of Cohen-Grossberg neural networks with random delay.
Zhu, Enwen, Zhang, Hanjun, Zou, Jiezhong (2010)
Journal of Inequalities and Applications [electronic only]
Automaty a mozek
Jiří Kopřiva (1962)
Pokroky matematiky, fyziky a astronomie
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