2015 | OriginalPaper | Buchkapitel
Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural Networks
verfasst von : Jarosław Bilski, Jacek Smoląg, Jacek M. Żurada
Erschienen in: Artificial Intelligence and Soft Computing
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A parallel architecture of the Levenberg-Marquardt algorithm for training a feedforward neural network is presented. The proposed solution is based on completely new parallel structures to effectively reduce high computational load of this algorithm. Detailed parallel neural network structures are explicitely discussed.