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DOI: 10.14569/IJACSA.2011.020414
PDF

Backpropagation with Vector Chaotic Learning Rate

Author 1: A.M. Numan Al Mobin
Author 2: Mobarakol Islam
Author 3: Md. Rihab Rana
Author 4: Md. Masud Rana
Author 5: Kaustubh Dhar
Author 6: Tajul Islam
Author 7: Md. Rezwan
Author 8: M. Hossain

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 2 Issue 4, 2011.

  • Abstract and Keywords
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Abstract: In Neural Network (NN) training, local minimum is an integrated problem. In this paper, a modification of standard backpropagation (BP) algorithm, called backpropagation with vector chaotic learning rate (BPVL) is proposed to improve the performance of NNs. BPVL method generates a chaotic time series as Vector form of Mackey Glass and logistic map. A rescaled version of these series is used as learning rate (LR). In BP training the weights of NN become inactive, after arrival of local minima in the training session. Using integrated chaotic learning rate, the weight update accelerated in the local minimum region. BPVL is tested on six real world benchmark classification problems such as breast cancer, diabetes, heart disease, australian credit card, horse and glass. The proposed BPVL outperforms the existing BP and BPCL in terms of generalization ability and also convergence rate.

Keywords: Neural network; backpropagation; BPCL; BPVL chaos; generalization ability; convergence rate.

A.M. Numan Al Mobin, Mobarakol Islam, Md. Rihab Rana, Md. Masud Rana, Kaustubh Dhar, Tajul Islam, Md. Rezwan and M. Hossain, “Backpropagation with Vector Chaotic Learning Rate” International Journal of Advanced Computer Science and Applications(IJACSA), 2(4), 2011. http://dx.doi.org/10.14569/IJACSA.2011.020414

@article{Mobin2011,
title = {Backpropagation with Vector Chaotic Learning Rate},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2011.020414},
url = {http://dx.doi.org/10.14569/IJACSA.2011.020414},
year = {2011},
publisher = {The Science and Information Organization},
volume = {2},
number = {4},
author = {A.M. Numan Al Mobin and Mobarakol Islam and Md. Rihab Rana and Md. Masud Rana and Kaustubh Dhar and Tajul Islam and Md. Rezwan and M. Hossain}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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