Structural Engineering and Mechanics

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A novel regression prediction model for structural engineering applications

  • Lin, Jeng-Wen (Department of Civil Engineering, Feng Chia University) ;
  • Chen, Cheng-Wu (Department of Maritime Information and Technology, National Kaohsiung Marine University) ;
  • Hsu, Ting-Chang (Department of Civil Engineering, Feng Chia University)
  • Received : 2012.07.01
  • Accepted : 2013.02.19
  • Published : 2013.03.10
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Abstract

Recently, artificial intelligence tools are most used for structural engineering and mechanics. In order to predict reserve prices and prices of awards, this study proposed a novel regression prediction model by the intelligent Kalman filtering method. An artificial intelligent multiple regression model was established using categorized data and then a prediction model using intelligent Kalman filtering. The rather precise construction bid price model was selected for the purpose of increasing the probability to win bids in the simulation example.

Keywords

References

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