Proceedings of the 2nd International Conference on Information, Electronics and Computer

Application of GA Optimizing Neural Network to Coal Sales Forecasts

Authors
Shuang Zhang, Hu Qinghe
Corresponding Author
Shuang Zhang
Available Online March 2014.
DOI
https://doi.org/10.2991/icieac-14.2014.32How to use a DOI?
Keywords
coal sales forecast; neural network; BP algorithm; LM algorithm; Genetic algorithm
Abstract
With the rapid development of the market, coal enterprises predict sales by subjective experience, which is far from accurate. In order to minimize decision-making errors, to avoid warehouse inventory shortages or backlog and to increase prediction accuracy of coal sales forecast, the study of forecast methods is particularly important. In the paper, improved BP algorithm is adopted based on some large coal enterprises’ practical characters. Connection weights are optimized by generic algorithm. The forecast method is implemented in the paper. Theoretical analysis and experimental results show that neural network is feasible and effective for coal sales prediction, with a bright future. Genetic algorithm optimizing neural network increases speed calculation and reliability.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference on Information, Electronics and Computer
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
978-90-78677-99-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/icieac-14.2014.32How 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  - Shuang Zhang
AU  - Hu Qinghe
PY  - 2014/03
DA  - 2014/03
TI  - Application of GA Optimizing Neural Network to Coal Sales Forecasts
BT  - 2nd International Conference on Information, Electronics and Computer
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icieac-14.2014.32
DO  - https://doi.org/10.2991/icieac-14.2014.32
ID  - Zhang2014/03
ER  -