An Adaptive Penalty-Based Learning Extension for Backpropagation and its Variants

Abstract

Over the years, many improvements and refinements of the backpropagation learning algorithm have been reported. In this paper, a new adaptive penalty-based learning extension for the backpropagation learning algorithm and its variants is proposed. The new method initially puts pressure on artificial neural networks in order to get all outputs for all… (More)
DOI: 10.1109/IJCNN.2006.247341

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