Enhanced online LS-SVM using EMD algorithm for prices prediction of building materials

Ying Hao Yu, Hsiao Che Chien, Pi Hui Ting, Jung Yi Jiang, Pei Yin Chen

研究成果: Conference contribution

摘要

Cost estimation is economically critical before starting off a construction project. One of the essential assignments for materials' prices prediction is to control the cost of inventory. Even though the prediction system based on support vector machine (SVM) recently has been emerged as a favourable choice, the prediction accuracy of SVM is usually deteriorated with nonstationary price data. Thus the way to explore workable price prediction still remains a challenge to be resolved for materials' cost control. In this paper, an enhanced online least squares support vector machine (LS-SVM) is proposed to predict the trend of building materials prices. Our design is to incorporate with empirical mode decomposition (EMD) to deconstruct nonlinear and nonstationary data for the set of intrinsic mode functions (IMFs), which are represented in sinusoidlike waveforms. Superior prediction, therefore, can be attained by predicting IMFs with online LS-SVMs. According to our simulation results, proposed EMD designs notably improve prediction accuracy from online LS-SVM and are workable for the cost estimation of building materials.

原文English
主出版物標題31st International Symposium on Automation and Robotics in Construction and Mining, ISARC 2014 - Proceedings
編輯Quang Ha, Ali Akbarnezhad, Xuesong Shen
發行者University of Technology Sydney
頁面302-308
頁數7
ISBN(電子)9780646597119
出版狀態Published - 2014 一月 1
事件31st International Symposium on Automation and Robotics in Construction and Mining, ISARC 2014 - Sydney, Australia
持續時間: 2014 七月 92014 七月 11

出版系列

名字31st International Symposium on Automation and Robotics in Construction and Mining, ISARC 2014 - Proceedings

Other

Other31st International Symposium on Automation and Robotics in Construction and Mining, ISARC 2014
國家/地區Australia
城市Sydney
期間14-07-0914-07-11

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 硬體和架構
  • 土木與結構工程
  • 建築與營造

指紋

深入研究「Enhanced online LS-SVM using EMD algorithm for prices prediction of building materials」主題。共同形成了獨特的指紋。

引用此