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| This paper presents a continuous-time recurrent neural network described by differential equations for real-time support vector regression (SVR). The SVR is first formulated as a convex quadratic programming problem, and then a continuous-time recurrent neural network with one-layer structure is designed for training the support vector machine. Furthermore, simulation results on an illustrative example are given to demonstrate the effectiveness and performance of the proposed neural network. |
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| Keywords:Intelligent system, recurrent neural networks, support vector regression, quadratic programming, convergence. |
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