Titlebook: Qualitative Analysis and Control of Complex Neural Networks with Delays; Zhanshan Wang,Zhenwei Liu,Chengde Zheng Book 2016 Science Press,

啜泣

?lt die Regeln ein. Hei?t das aber gleichzeitig, da? wer die Vorschriften einh?lt, damit auch schon ein guter Autofahrer ist? Wohl kaum, denn wesentliche Kriterien, wie übersicht, Rücksichtnahme und die sichere Beherrschung des Fahrzeugs, entziehen sich einer eindeutigen Regelung. So verpflichtet §

LITHE

Cerebrovascular

打火石

Stabilization of Stochastic RNNs with Stochastic Delays,or a class of stochastic Cohen-Grossberg neural networks with mode-dependent mixed time delays and Markovian switching, in which the neural dynamical networks will be stabilized. The contents in this chapter are from the research result in Zheng et al., (IEEE Trans. Neural Netw. Learn. Syst. 24(5):800–811, 2013, [.]).

minaret

新陳代謝

Conclave

Dissipativity and Invariant Sets for Neural Networks with Delay,amics of dynamical systems more general. Based on such analysis, in this chapter some sufficient conditions for dissipativity and invariant sets have been established for a kind of RNNs with delay. The contents in this chapter are some extensions of the stability results of previous chapters.

GROUP

Delay-Partitioning-Method Based Stability Results for RNNs,spired by the discussion in Chap.?., a new delay splitting method is proposed. By nonuniformly splitting the interval of time delay through involving many adjustable parameters, along with the construction of a new Lyapunov function, some delay-dependent stability results are established. By some co

上流社會(huì)

Stability Criteria for RNNs Based on Secondary Delay Partitioning, to split the time delay with fixed intervals by inserting some virtual sampling points or weighting coefficients, which leads to the nonuniformly changeable subintervals. In this chapter, we will present another method to decompose the interval of time delay and change the sizes of the subintervals

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