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C# and Matlab Mix and GRNN Agricultural Pest Forecasting System Design

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Proceedings of 20th International Conference on Industrial Engineering and Engineering Management

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Abstract

Research for improve GRNN natural disaster prediction system of the utility and flexibility, this paper study of GRNN implementation based on matlab2010b, And based on C# and Matlab mixed programming system development way, that is said under the.Net platform by calling the MATLAB achieve data communication between C# and MATLAB. This way only needs MATLAB language to write an M document of control algorithm. And then through the MATLAB builder NE compilation make the M file become the DLL library, then in the.NET platform it can via C# calls these the library. Using this way it not only can realize the mixed development between C# and Matlab, but also develop an intelligent prediction system.

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Author information

Authors and Affiliations

  1. College of Electric Power, Inner Mongolia University of Technology, Hohhot, 010080, People’s Republic of China

    Shuai-Jun Jin & Jian-Dong Fang

Authors
  1. Shuai-Jun Jin
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  2. Jian-Dong Fang
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Corresponding author

Correspondence to Shuai-Jun Jin .

Editor information

Editors and Affiliations

  1. Industrial Engineering Institution of CM, Tianjin, People's Republic of China

    Ershi Qi

  2. Industrial Engineering Institution of CM, Tianjin, People's Republic of China

    Jiang Shen

  3. College of Management and Economics Industrial Engineering, Tianjin University, Tianjin, People's Republic of China

    Runliang Dou

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Jin, SJ., Fang, JD. (2013). C# and Matlab Mix and GRNN Agricultural Pest Forecasting System Design. In: Qi, E., Shen, J., Dou, R. (eds) Proceedings of 20th International Conference on Industrial Engineering and Engineering Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40063-6_36

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