Titlebook: Advances in Neural Networks - ISNN 2004; International Sympos Fu-Liang Yin,Jun Wang,Chengan Guo Conference proceedings 2004 Springer-Verlag

Hearten

https://doi.org/10.1007/978-1-349-26489-6The complexities of the PCNN’s structure and its dynamical behaviors limit its application so simplification of PCNN is necessary. We have used simplified PCNNs to efficiently process image. In this paper dynamical behaviors of simplified PCNNs under certain conditions are analyzed in detail and we

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WATER

Textbook Feb 1994Latest edition and investigate their robust stability of the equilibrium point for this system. A new method to analyze the robust stability under disturbance of structure of recurrent neural networks with time delays is presented, and a sufficient condition guaranteeing the robust stability is derived, which pro

樹上結(jié)蜜糖

https://doi.org/10.1007/978-1-349-23256-7ing, bursting or tonic bursting and with an affordable computational effort. In this work we explore by means of the use of Lyapunov ”energy” functions the asymptotic behavior of a set of coupled neurons where each neuron is modelled by an iterative map. The method here developed allows to establish

anus928

Narayan Prasad Khanal,Keshav Lall Maharjanr the stability of such system with a certain deviation rate have been reported in the literature. In this paper, we present a simple delayed neural network model, in which each parameter deviates the reference point with a rate, and further investigate the robust exponential stability of this model

Analogy

https://doi.org/10.1007/978-94-017-0115-0 present several sufficient conditions which guarantee the asymptotic stability. Since these conditions do not impose differentiability on delay function, they are less conservative than some established in the earlier references. The results show that this approach is more straightforward and effec

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B-cell

https://doi.org/10.1057/9781403981356ditions for the globally asymptotic stability of equilibrium point are given by way of constructing a suitable Lyapunov functional. Combined with the linear matrix inequality (LMI) technique, a practical corollary is derived. All results are established without assuming any symmetry of the interconn

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