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

被引：0
|
作者：
Wang Jianjun [1 ]
机构：
[1] Shandong Univ, Sch Civil Engn, Jinan 250100, Peoples R China
来源：
PROCEEDINGS OF THE 2016 5TH INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS AND COMPUTER SCIENCE | 2016年 / 80卷
关键词：
Neural Network; Threshold Model; Analysis; Regional Water; Resources Development;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：210 / 213
页数：4
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