Neural networks for NP-complete problems
Proceedings of the second world congress on Nonlinear analysts: part 3
Ordinary Differential Equations
Ordinary Differential Equations
Nonlinear Analysis: Theory, Methods & Applications
Hopfield neural networks for timetabling: formulations, methods, and comparative results
Computers and Industrial Engineering - Special issue: Focussed issue on applied meta-heuristics
Modeling distributed concept representation in Hopfield neural networks
Mathematical and Computer Modelling: An International Journal
On equilibria, stability, and instability of Hopfield neural networks
IEEE Transactions on Neural Networks
Periodic solutions for a two-neuron network with delays
Computers & Mathematics with Applications
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
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The qualitative properties of the continuous-time Hopfield neural network are investigated. By using the Cauchy existence theorem of ordinary differential equations, a set of new and simple sufficient conditions guaranteeing the existence and uniqueness of equilibrium is derived. Furthermore, global and asymptotical stability conditions are established by means of Lyapunov method.