Vol. 7 (11) pp. 844-849 DOI: 10.21474/IJAR01/10084

URBAN CLASSIFICATION BASED ON RANDOM FOREST ALGORITHM

  • School of Mathematics and Statistics ,Shandong University of Technology, Zibo, China
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Abstract

This paper discussed the research content from five parts. The first chapter mainly introduced the background and significance of the research and the research status at home and abroad. The second chapter introduced the theoretical knowledge and implementation of the research method, namely the random forest algorithm. The third chapter introduced the index system of city classification.The fourth chapter introduced the establishment of stochastic forest algorithm model and discusses the feasibility of the model from the model results. The fifth chapter made a summary of the whole thesis.

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How to Cite This Article

Peng Lin and Lixin Yang (2019); URBAN CLASSIFICATION BASED ON RANDOM FOREST ALGORITHM, Int. J. of Adv. Res., 7 (11), 844-849, ISSN 2320-5407. DOI: https://doi.org/10.21474/IJAR01/10084

Corresponding Author

Peng Lin