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您的检索式：作者名="CHENTIANPING"
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| 1 | GLOBAL EXPONENTIAL STABILITY IN HOPFIELD AND BIDIRECTIONAL ASSOCIATIVE MEMORY NEURAL NETWORKS WITH TIME DELAYS显示文摘Without assuming the boundedness, strict monotonicity and differentiability of the activation functions, the authors utilize the Lyapunov functional method to analyze the global convergence of some delayed models. For the Hopfield neural network with time delays, a new sufficient condition ensuring the existence, uniqueness and global exponential stability of the equilibrium point is derived. This criterion concerning the signs of entries in the connection matrix imposes constraints on the feedback matrix independently of the delay parameters. From a new viewpoint, the bidirectional associative memory neural network with time delays is investigated and a new global exponential stability result is given. | RONGLIBIN LUWENLIAN CHENTIANPING | 2004 | Chinese Annals of Mathematics,Series B2004，25，2： | 5 |
| 2 | DENSENESS OF RADIAL-BASIS FUNCTIONS IN L^2(Rn) AND ITS APPLICATIONS IN NEURAL NETWORKS显示文摘The authors discuss problems of approximation to functions in L^2 (R^n)and operators from L^2(R^n1)to L^2(R^n2)by Radial-Basis Functions. The results obtained solve the parblem of capability of RBF neural networks,a basic problem in neural networks. | CHENTIANPING CHENHONG | 1996 | Chinese Annals of Mathematics,Series B1996，17，2： | 3 |
| 3 | ON PERIODIC DYNAMICAL SYSTEMS显示文摘The authors investigate the existence and the global stability of periodic solution for dynamical systems with periodic interconnections, inputs and self-inhibitions. The model is very general, the conditions are quite weak and the results obtained are universal. | LUWENLIAN CHENTIANPING | 2004 | Chinese Annals of Mathematics,Series B2004，25，4： | 3 |
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