Saduf

Work place: Dept. of computer sciences, University of Kashmir, Srinagar, j&k, India

E-mail: Sadaf.afzal.123@gmail.com

Website:

Research Interests: Neural Networks, Computer Networks

Biography

Saduf has done MCA from university of Kashmir, India. She is currently pursuing research in the field of neural networks.

Author Articles
Comparative Study of High Speed Back- Propagation Learning Algorithms

By Saduf Mohd.Arif Wani

DOI: https://doi.org/10.5815/ijmecs.2014.12.05, Pub. Date: 8 Dec. 2014

Back propagation is one of the well known training algorithms for multilayer perceptron. However the rate of convergence in back propagation learning tends to be relatively slow, which in turn makes it computationally excruciating. Over the last years many modifications have been proposed to improve the efficiency and convergence speed of the back propagation algorithm. The main emphasis of this paper is on investigating the performance of improved versions of back propagation algorithm in training the neural network. All of them are assessed on different training sets and a comparative analysis is made. Results of computer simulations with standard benchmark problems such as XOR, 3 BIT PARITY, MODIFIED XOR and IRIS are presented. The training performance of these algorithms is evaluated in terms of percentage of accuracy, and convergence speed.

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