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A New Algorithm for Detection of Animal and Plant Ion Concentration Based on Gene Expression Programming

Author

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  • Kangshun Li

    (Dongguan City College, China)

  • Leqing Lin

    (South China Agricultural University, China)

  • Jiaming Li

    (South China Agricultural University, China)

  • Siwei Chen

    (South China Agricultural University, China)

  • Hassan Jalil

    (South China Agricultural University, China)

Abstract

In order to accurately predict the concentration detection data of ion sensors for animal and plant, this paper proposes a gene expression programming (GEP) based concentration detection method. The method includes collecting ion concentration data as well as voltage timing data; preprocessing all the collected data to obtain an initial sample set; constructing a prediction model of ion concentration, which is an explicit functional relationship between voltage and the concentration of a specific ion. The Gene Expression Programming is used to train and evaluate the prediction model, and obtain a trained model. By comparing gene expression programming with other two modeling methods, it is found that the accuracy of the model established by gene expression programming has greater advantages than that established by polynomial fitting and neural network in processing animal and plant ion concentration data.

Suggested Citation

  • Kangshun Li & Leqing Lin & Jiaming Li & Siwei Chen & Hassan Jalil, 2023. "A New Algorithm for Detection of Animal and Plant Ion Concentration Based on Gene Expression Programming," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol. 17(1), pages 1-11, January.
    • Handle: RePEc:igg:jcini0:v:17:y:2023:i:1:p:1-11
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