scholarly journals CONSTRUCTION COST PREDICTION USING NEURAL NETWORKS

2017 ◽  
Vol 8 (1) ◽  
pp. 1549-1556 ◽  
Author(s):  
Smita K Magdum ◽  
◽  
Amol C Adamuthe
Keyword(s):  
Neural Networks ◽  
Construction Cost ◽  
Cost Prediction

Design and implementation of construction cost prediction model based on SVM and LSSVM in industries 4.0

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Miao Fan ◽  
Ashutosh Sharma
Keyword(s):  
Support Vector Machine ◽  
Prediction Model ◽  
Original Data ◽  
Construction Cost ◽  
Support Vector ◽  
Competitive Growth ◽  
Cost Prediction ◽  
Content Type ◽  
Model Based ◽  
Standard Support Vector Machine

PurposeIn order to improve the accuracy of project cost prediction, considering the limitations of existing models, the construction cost prediction model based on SVM (Standard Support Vector Machine) and LSSVM (Least Squares Support Vector Machine) is put forward.Design/methodology/approachIn the competitive growth and industries 4.0, the prediction in the cost plays a key role.FindingsAt the same time, the original data is dimensionality reduced. The processed data are imported into the SVM and LSSVM models for training and prediction respectively, and the prediction results are compared and analyzed and a more reasonable prediction model is selected.Originality/valueThe prediction result is further optimized by parameter optimization. The relative error of the prediction model is within 7%, and the prediction accuracy is high and the result is stable.

Assessing effects of economic factors on construction cost estimation using deep neural networks

2022 ◽  
Vol 134 ◽  
pp. 104080
Author(s):  
Ran Wang ◽  
Vahid Asghari ◽  
Clara Man Cheung ◽  
Shu-Chien Hsu ◽  
Chia-Jung Lee
Keyword(s):  
Neural Networks ◽  
Cost Estimation ◽  
Deep Neural Networks ◽  
Construction Cost ◽  
Economic Factors
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