Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

The study about the water strategy of America which is based on the data analysis of the MATLAB software

Authors
Yilin Li
Corresponding Author
Yilin Li
Available Online March 2016.
DOI
https://doi.org/10.2991/icmmct-16.2016.33How to use a DOI?
Keywords
MATLAB software, water strategy, data analysis, statistic stimulation model
Abstract
This article explains and demonstrates the study about the water strategy of American which is based on the data analysis of the MATLAB software. This society is an era which is consisted of data. The formulation of some policies and the reform of some systems need the help of data simulation. In this article, the problem of the distribution and allocation of the water resources in America is discussed in a professional manner. In the procedure of solving problems of America, the correspondence analysis is used to classify the whole American into five main parts.The standard of the classification is the amount of water resources that they have. After that, the neural network model is used to predict water consumption. That’s the new way to set the water resources policy by using the MATLAB other than ill-considered discuss details or implement test.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-165-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmmct-16.2016.33How 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  - Yilin Li
PY  - 2016/03
DA  - 2016/03
TI  - The study about the water strategy of America which is based on the data analysis of the MATLAB software
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 175
EP  - 179
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.33
DO  - https://doi.org/10.2991/icmmct-16.2016.33
ID  - Li2016/03
ER  -