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A recurrent function networks model and a learning algorithm. (Chinese. English summary) Zbl 1174.68535

Summary: A new kind of recurrent functional network model is proposed, a general criterion on the stability of recurrent functional networks is given, and the stable points of the functional network are converted as the function fixed points. A learning algorithm of recurrent functional network is proposed, which adopted Lagrange multipliers as an auxiliary function and sums up the learning process of function parameters as solving a series of linear equations. Finally, the simulation results demonstrate that the learning algorithm presented in the paper has rapid convergence speed and powerful performance.

MSC:

68T05 Learning and adaptive systems in artificial intelligence
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