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Data Mining for Economic Efficiency of Ecological Environment Based on Machine Learning Algorithms

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  • Tingting Guo

    (Shaanxi Fashion Engineering University, China)

Abstract

This can help people better understand and grasp the laws of economic changes in the ecological environment and tap the tremendous value contained in the information, thereby promoting the research process of ecological environmental economics. This paper tentatively introduced ML algorithms and conducted in-depth research on innovative models for evaluating the economic efficiency of the ecological environment. Combining artificial neural networks and highly integrated sensor systems, a model for evaluating the economic efficiency of innovative ecological environments was proposed. Through comparative analysis of application experiments in two cities in a certain region, it can be concluded that the innovative ecological environmental economic efficiency evaluation model proposed in this article had an average improvement of about 20.3% in four evaluation indicators compared to the traditional ecological environmental economic efficiency evaluation model.

Suggested Citation

  • Tingting Guo, 2025. "Data Mining for Economic Efficiency of Ecological Environment Based on Machine Learning Algorithms," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 21(1), pages 1-15, January.
    • Handle: RePEc:igg:jiit00:v:21:y:2025:i:1:p:1-15
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