Water Environmental Quality Assessment and Effect Prediction Based on Artificial Neural Network

被引：0
|
作者：
An, Wentian [1 ]
机构：
[1] Northeastern Univ, Sch Met, Shenyang 110819, Peoples R China
来源：
3D IMAGING-MULTIDIMENSIONAL SIGNAL PROCESSING AND DEEP LEARNING, VOL 1 | 2022年 / 297卷
关键词：
Artificial neural network; Water environment; Levenberg-Marquardt; Water environmental quality assessment;
D O I：
10.1007/978-981-19-2448-4_9
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Water environmental quality is an important criterion to promote China's sustainable development strategy and the main direction of China's scientific research and technological innovation. Based on the current situation of water environmental quality evaluation, the artificial neural network and its prediction model were constructed, and the Levenberg-Marquardt optimization algorithm was used to evaluate the water environmental quality.
引用
收藏
页码：91 / 100
页数：10
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