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Research on Optimization of Secondary Leaf Watering Parameters by Particle Swarm Optimized Random Forest Algorithm
Artificial Intelligence | 更新时间：2024-12-30
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    • Research on Optimization of Secondary Leaf Watering Parameters by Particle Swarm Optimized Random Forest Algorithm

    • “In the field of tobacco leaf withering and re drying technology, experts construct a particle swarm optimization random forest model to explore the influence of parameters on export indicators, providing theoretical basis for improving the quality of tobacco leaf re drying.”
    • Software Guide   Vol. 23, Issue 12, Pages: 75-81(2024)

    • DOI：10.11907/rjdk.241871    

      CLC： TP399

    • Published：16 December 2024，

      Received：12 October 2024，

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  • ZHU Yuhang,LI Jun,LI Jibin,et al.Research on Optimization of Secondary Leaf Watering Parameters by Particle Swarm Optimized Random Forest Algorithm[J].Software Guide,2024,23(12):75-81. DOI： 10.11907/rjdk.241871.

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