Modelling labour productivity using SVM and RF: a comparative study on classifiers performance
Author:
Affiliation:
1. School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru, Malaysia
Publisher
Informa UK Limited
Subject
Management of Technology and Innovation,Strategy and Management,Building and Construction
Link
https://www.tandfonline.com/doi/pdf/10.1080/15623599.2020.1744799
Reference103 articles.
1. Adaptation of Fuzzy Inference System Using Neural Learning
2. Climate-sensitive modelling of site-productivity relationships for Norway spruce (Picea abies (L.) Karst.) and common beech (Fagus sylvatica L.)
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