Neighborhood based modified backpropagation algorithm using adaptive learning parameters for training feedforward neural networks

Authors:
T. Kathirvalavakumar;S. Jeyaseeli Subavathi
Affiliations:
Department of Computer Science, V.H.N.S.N. College, Virudhunagar 626001, India;Department of Information Technology, Sri Kaliswari College, Sivakasi 626130, India
Venue:
Neurocomputing
Year:
2009

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Abstract

The major drawbacks of backpropagation algorithm are local minima and slow convergence. This paper presents an efficient technique ANMBP for training single hidden layer neural network to improve convergence speed and to escape from local minima. The algorithm is based on modified backpropagation algorithm in neighborhood based neural network by replacing fixed learning parameters with adaptive learning parameters. The developed learning algorithm is applied to several problems. In all the problems, the proposed algorithm outperform well.