URBAN CLASSIFICATION BASED ON RANDOM FOREST ALGORITHM

Peng Lin; Lixin Yang

doi:10.21474/ijar01/10084

ScienceGate Book Chapters

JOURNAL ARTICLE

URBAN CLASSIFICATION BASED ON RANDOM FOREST ALGORITHM

Peng Lin Lixin Yang

Year: 2019 Journal: International Journal of Advanced Research Vol: 7 (11)Pages: 844-849

DOI: 10.21474/ijar01/10084

Get Full-Text PDF Get Analytical Report

Abstract

15Nov 2019 URBAN CLASSIFICATION BASED ON RANDOM FOREST ALGORITHM Peng Lin and Lixin Yang School of Mathematics and Statistics ,Shandong University of Technology, Zibo, China

Keywords:

Random forest Algorithm China Statistical classification Computer science Artificial intelligence Statistics Mathematics Geography Archaeology

Metrics

Cited By

0.23

FWCI (Field Weighted Citation Impact)

Refs

0.60

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Remote Sensing and Land Use

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Evaluation Methods in Various Fields

Physical Sciences → Environmental Science → Ecological Modeling

URBAN CLASSIFICATION BASED ON RANDOM FOREST ALGORITHM

Abstract

Metrics

Citation History

Topics

Related Documents

URBAN CLASSIFICATION BASED ON RANDOM FOREST ALGORITHM

URBAN CLASSIFICATION BASED ON RANDOM FOREST ALGORITHM

Random forest based pseudorandom sequences classification algorithm

Image classification based on improved random forest algorithm

Classification of pseudo-random sequences based on the random forest algorithm