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• W2167797372 abstract "<para xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> Various local periodic solutions may represent different classes of storage patterns or memory patterns, and arise from the different equilibrium points of neural networks (NNs) by applying Hopf bifurcation technique. In this paper, a bidirectional associative memory NN with four neurons and multiple delays is considered. By applying the normal form theory and the center manifold theorem, analysis of its linear stability and Hopf bifurcation is performed. An algorithm is worked out for determining the direction and stability of the bifurcated periodic solutions. Numerical simulation results supporting the theoretical analysis are also given. </para>" @default.
• W2167797372 created "2016-06-24" @default.
• W2167797372 creator A5017808266 @default.
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• W2167797372 date "2007-03-01" @default.
• W2167797372 modified "2023-10-08" @default.
• W2167797372 title "Stability and Hopf Bifurcation in a Simplified BAM Neural Network With Two Time Delays" @default.
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• W2167797372 doi "https://doi.org/10.1109/tnn.2006.886358" @default.
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