Research on the Prediction Mechanism of Fuel Quantity of Gas Turbine Power Plant Based on Stochastic Forest Algorithm

Author:

Liu Yantao,Li Chunxiao,Zheng Likun,Hao Xindong,Sun Zuyi,Hao Jun

Publisher

Springer Nature Singapore

Reference10 articles.

1. Liang J (2022) Problems and solutions of art professional service rural revitalization strategy based on random forest algorithm. Wirel Commun Mob Comput 2022(1):1–11

2. Yang J, Sui H, Jiao R et al (2022) Random-forest-algorithm-based applications of the basic characteristics and serum and imaging biomarkers to diagnose mild cognitive impairment. Curr Alzheimer Res 1:19

3. Natarajan R, Mehbodniya A, Rane KP et al (2022) Intelligent gravitational search random forest algorithm for fake news detection. Int J Mod Phys C Phys Comput. https://doi.org/10.1142/S012918312250084X

4. Tie J, Lei X, Pan Y (2022) Metabolite-disease association prediction algorithm combining deep walk and random forest. Tsinghua Sci Technol 27(1):58–67

5. Kim JY, Lee M, Min KL et al (2021) Development of random forest algorithm based prediction model of Alzheimer’s disease using neurodegeneration pattern. Psychiatry Investig 18(1):69–79

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