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Cluster Computing

, Volume 22, Supplement 4, pp 8193–8198 | Cite as

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

  • Chunmei LiEmail author
  • Yuming Wang
  • Tian Fang
  • Xinke Zhou
  • Peng Cui
Article

Abstract

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.

Keywords

Grassland degradation Decision-making Neural network Expert system 

Notes

Acknowledgements

The authors acknowledge the Science and Technology Department of Qinghai Province China (Grant 2016-ZJ-774).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Computer Technology and ApplicationsQinghai UniversityXiningChina

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