Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China

Wuhan, China

Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China

Wuhan, China
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Bao G.,China Three Gorges University | Zeng Z.,Huazhong University of Science and Technology | Zeng Z.,Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China
Neurocomputing | Year: 2016

This paper investigates a kind of switched discrete-time neural network. Such neural network is composed of multiple sub-networks and switched different sub-networks according to the states of neural network. There is no common equilibrium for all of sub-networks, i.e., multiple equilibria coexist. Firstly, a bounded condition is presented for the switched discrete-time neural network. And then sufficient conditions are derived to ensure region stability of the equilibrium points of such neural network by mathematical analysis and nonsingular M-matrix theory. Four examples are presented to verify the validity of our results. © 2017.


Bao G.,China Three Gorges University | Zeng Z.,Huazhong University of Science and Technology | Zeng Z.,Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China
Neural Processing Letters | Year: 2017

Memristor is the fourth missing element. This paper discusses dynmacis memristive recurrent neural network with memristors as synapses. Firstly, it analyzes variation property of memristance under different external inputs with memristor simulation model. It concludes that memristance will be stable at one value if the direction of voltage is not changed and be varying periodically under periodically variable voltage. Next, it presents the memristive recurrent neural network model and gives local attractive region, one sufficient condition for memristive recurrent neural network under periodic voltage source. At last, an illustrative example is given for verifying our result. © 2017 Springer Science+Business Media, LLC

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