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

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Stabilization of Stochastic RNNs with Stochastic Delays,is of nonlinear dynamical systems is the foundation of controlling the systems. Therefore, in this chapter controller design problem will be studied for a class of stochastic Cohen-Grossberg neural networks with mode-dependent mixed time delays and Markovian switching, in which the neural dynamical

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Book 2016control and electrical engineering. The redefined concept of stability, synchronization and consensus are adopted to provide a better explanation of the complex neural network. Researchers in the fields of dynamical systems, computer science, electrical engineering and mathematics will benefit from

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Stability Criteria for RNNs Based on Secondary Delay Partitioning,. This new method is called the secondary delay partitioning method, and the effectiveness of the established stability result is verified by a numerical simulation. The contents of this chapter are mainly from the result in [.].

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2198-4182 etworks and their applications in electrical engineering.HelThis book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications in automation control and electrical engineering. The redefined concept of stability, synchronization an

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Synchronization Stability in Complex Neural Networks,ems or node systems. With the information communications and region interconnections being quickly developed, some isolated systems are coupled together closely, whether they are coupled passively or actively.

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Introduction to Neural Networks,Analog circuits have played a very important role in the development of modern electronic technology. Even in our digital computer era, analog circuits still dominate such fields as communications, power, automatic control, audio, and video electronics because of their real-time signal processing capabilities.

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