A neural network decision expert system for alpine meadow degradation in the Sanjiangyuan region

被引：2
|
作者：
Li, Chunmei [1 ]
Wang, Yuming [1 ]
Fang, Tian [1 ]
Zhou, Xinke [1 ]
Cui, Peng [1 ]
机构：
[1] Qinghai Univ, Dept Comp Technol & Applicat, Xining, Qinghai, Peoples R China
来源：
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2019年 / 22卷 / Suppl 4期
关键词：
Grassland degradation; Decision-making; Neural network; Expert system;
D O I：
10.1007/s10586-018-1698-x
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper introduced detailed the design of intelligent system for decision-making. Firstly, the overall design of grassland degradation decision-making system of Sanjiangyuan based on neural network is carried out, including man-machine interface module, knowledge base module, neural network module and inference engine module. Secondly, the specific functions of each module are introduced. Finally, the design of neural network was introduced detailed, the entire BP neural network consists of three layers of structure. There are five nodes in the input layer, five nodes in the output layer, and six nodes in the hidden layer.
引用
收藏
页码：S8193 / S8198
页数：6
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