A function approximation algorithm using sequential composition.
Published in International journal of neural systems • Jun 1, 1993
Authors:
R Newman
Abstract
A new method for approximating one dimensional functions is developed based on structural capabilities of multilayer feedforward neural networks. It possesses notable but unproven convergence properties which are examined in a series of examples. It is shown that it outperforms conventional networks...
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