A novel regression prediction model for structural engineering applications
Jeng‐Wen Lin, Cheng‐Wu Chen, Ting-Chang Hsu · STRUCTURAL ENGINEERING AND MECHANICS · 2013
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.