Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

Research and Improvement on Error Back Propagation Neural Network and Learning Algorithm

Authors
Yudong Huang, Gaoqiang Yang, Rui Hao, Jianhe Guan
Corresponding Author
Yudong Huang
Available Online March 2013.
DOI
10.2991/iccsee.2013.107How to use a DOI?
Keywords
Artificial Neural Network, local minimum, BP algorithm, learning rate
Abstract

As the important subfield and the quintessence of Artificial Neural Network, BP Neural Network accelerated the development in this field. BP algorithm uses the steepest descent algorithm, thus there are two main shortcomings of slow convergence rate and easy to fall into local minimum. According to this, this paper researches on the basis of the standard BP algorithm and presented many improved back propagation algorithms from the factor of the learning rate, error function, activation function, optimization algorithm, the network structure and other aspects.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
10.2991/iccsee.2013.107How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yudong Huang
AU  - Gaoqiang Yang
AU  - Rui Hao
AU  - Jianhe Guan
PY  - 2013/03
DA  - 2013/03
TI  - Research and Improvement on Error Back Propagation Neural Network and Learning Algorithm
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 418
EP  - 421
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.107
DO  - 10.2991/iccsee.2013.107
ID  - Huang2013/03
ER  -