Study on Multivariate Regression Analyzing and BP ANN Combination Method for Groundwater quality Forecasting

DOI

10.2991/ifeesd-16.2016.147How to use a DOI?

Keywords

the quantification theory, multivariate linear regression, data dimensionality, BP artificial neural network, groundwater quality forecasting

Abstract

In this paper, the quantification theory model I based on the theory of multivariate linear regression was used as a preprocessing tool to reduce data dimensionality in 13 factors influenced groundwater quality. Then BP ANN groundwater quality forecasting model was created and 8 important characteristic factor is used as nodes of input layer . The simulation results covered most of the existing experimental data in LiGuanPu area of Shenyang city. The results showed that the method was more precise and accorded with actual instance.

Copyright

© 2016, 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  - Ping Yang
AU  - Laijun Lu
AU  - Xinmin Wang
PY  - 2016/05
DA  - 2016/05
TI  - Study on Multivariate Regression Analyzing and BP ANN Combination Method for Groundwater quality Forecasting
BT  - Proceedings of the 2016 International Forum on Energy, Environment and Sustainable Development
PB  - Atlantis Press
SP  - 802
EP  - 808
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifeesd-16.2016.147
DO  - 10.2991/ifeesd-16.2016.147
ID  - Yang2016/05
ER  -