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• W2003404212 abstract "An artificial neural network (ANN) consisting of three neurons has been considered. The equations of control are given by three differential equations (DE) with nonlinear, positive and bounded response functions of the neurons. Bifurcation diagram and three dimensional (3-D) phase portraits of the model show rich dynamics. With the change in synaptic weight and decay rate, the system passes from stable to periodic and then chaotic regimes. Interestingly, the system returns to periodic regime by further changing the synaptic weight. Computer code to calculate the Lyapunov exponent (LE) has been written to confirm chaos." @default.
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• W2003404212 date "2000-06-01" @default.
• W2003404212 modified "2023-09-29" @default.
• W2003404212 title "Chaos in a three dimensional neural network" @default.
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• W2003404212 doi "https://doi.org/10.1016/s0307-904x(99)00046-3" @default.
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