The Application of Genetic Gray Model in Exploration Investment Prediction

DOI

10.2991/ameii-15.2015.33How to use a DOI?

Keywords

Genetic algorithm; GM (1;1) model; Data fitting

Abstract

This paper is a study of existing GM(1,1) model and manages to improve its inadequencies, such as the initial value, the background value of the model, the smoothness of the original data sequence, etc. By replacing the least square method with artificial intelligence method, the paper proposes a new model which combines genetic algorithm with the GM (1,1) model.The modified model can get more accurate data to improve the degree of data fitting and forecasting accuracy.

Copyright

© 2015, 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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TY  - CONF
AU  - Xin Wang
AU  - Min Bian
AU  - Shichun Wang
PY  - 2015/04
DA  - 2015/04
TI  - The Application of Genetic Gray Model in Exploration Investment Prediction
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 184
EP  - 189
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.33
DO  - 10.2991/ameii-15.2015.33
ID  - Wang2015/04
ER  -