Intelligent decision model of road maintenance based on improved weight random forest algorithm-Reference-Cited by-同舟云学术

Intelligent decision model of road maintenance based on improved weight random forest algorithm

Published:2020-06-29 Issue: Volume: Page:1-13
ISSN:1029-8436
Container-title:International Journal of Pavement Engineering
language:en
Short-container-title:International Journal of Pavement Engineering

Author:

Han Chengjia¹,Ma Tao¹²,Xu Guangji¹,Chen Siyu¹,Huang Ruoyun³

Affiliation:

1. School of Transportation, Southeast University, Nanjing, People’s Republic of China

2. National Engineering Laboratory of Highway Maintenance Technology, Changsha University of Science & Technology, Changsha, People’s Republic of China

3. Jiangsu Highway Engineering Maintenance Technology Co., Ltd., Nanjing, People’s Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Mechanics of Materials,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10298436.2020.1784418

Reference37 articles.

1. Artificial Neural Network Approach for Pavement Maintenance

2. Mass appraisal of residential apartments: An application of Random forest for valuation and a CART-based approach for model diagnostics

3. Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms

4. Microstructure of synthetic composite interfaces and verification of mixing order in cold-recycled asphalt emulsion mixture

5. Preventive Maintenance Decision Based on Data Envelopment Analysis and Technique for Order Preference by Similarity To ideal Solution

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