Analysis on Regional Water Resources Development Threshold Model based on Neural Network

DOI

10.2991/icamcs-16.2016.43How to use a DOI?

Keywords

Neural Network, Threshold Model, Analysis, Regional Water, Resources Development.

Abstract

In this literature article, we conduct research on the regional water resources development threshold model based on neural network. With the development of industry and agriculture and the increase of population, water availability will increase, which brings us up out of the water resources characteristics requirements of scientific and reasonable development and utilization of the water resources should be our water conservancy workers focus on research problems in the future, and provide scientific basis for policy makers, and achieve sustainable development. Profound evolvement background based on river basin water resources, as water resources and its exploitation and utilization evaluation has received the full attention in recent years. We combine corresponding principles to propose our perspective that will be innovative.

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  - Jianjun Wang
PY  - 2016/06
DA  - 2016/06
TI  - Analysis on Regional Water Resources Development Threshold Model based on Neural Network
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 210
EP  - 213
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.43
DO  - 10.2991/icamcs-16.2016.43
ID  - Wang2016/06
ER  -