Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

Financial Security Evaluation in Power Production Industry Based on BP Neural Network Optimized by Genetic Algorithm

Authors
Jiao Lin, Yao Shuo, Jiao Di
Corresponding Author
Jiao Lin
Available Online April 2015.
DOI
https://doi.org/10.2991/amcce-15.2015.12How to use a DOI?
Keywords
financial security;power production industry; genetic algorithm; BP neural network; evaluation
Abstract
In recent years, power production industry investment and financing security issues have become increasingly prominent in China,which has brought serious financial security challenges to our country’s power production industry. Therefore, to evaluate the financial security is of vital significance.This paper selects genetic algorithms (GA) to optimize the traditional BP neural network algorithm,and establish BP neural network model improved by genetic algorithm. Using GA algorithm to optimize the connection weights and thresholds of BP neural network,giving full play to the global optimization capability of GA algorithm and local search advantage of BP algorithm.So,it can be a good way to overcome the problem of BP neural network--weights of which are random.Through the practical experiments,the results indicate that prediction results based on BP neural network optimized by genetic algorithm,can evaluate the financial security of Chinese power production industry effectively.Moreover,the operation process of the model not only has a fast convergence rate,but also the prediction results has high accuracy.
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Proceedings
2015 International Conference on Automation, Mechanical Control and Computational Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-64-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/amcce-15.2015.12How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jiao Lin
AU  - Yao Shuo
AU  - Jiao Di
PY  - 2015/04
DA  - 2015/04
TI  - Financial Security Evaluation in Power Production Industry Based on BP Neural Network Optimized by Genetic Algorithm
BT  - 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.12
DO  - https://doi.org/10.2991/amcce-15.2015.12
ID  - Lin2015/04
ER  -