Prediction of safety-civilized measure cost for fabricated building project based on RS-LSSVM

doi:10.16265/j.cnki.issn1003-3033.2018.01.025

Abstract

Abstract: To get accurate prediction of the safety-civilized measure cost for fabricated building project, a method based on the combination of RS and LSSVM was developed. For developing the method, the measurement factors were ascertained by attribute reduction algorithm in RS according to the features of fabricated building project. A LSSVM was introduced and a RS-LSSVM model was built. The method based on RS-LSSVM was applied to a number of projects in pilot urban agglomeration as an example. The data on these projects were input into the model for training and simulation to verify the method. As the case study shows, under the condition of small-sample case and multi-dimensional nonlinear factors, in comparison with the conventional methods such as the multivariant linear regression and BP neural network method, the proposed method works more efficiently, and can give calculation results more closely conforming to the reality.

Key words: fabricated building, safety-civilized measure cost, rough set (RS), least squares support vector machine(LSSVM), prediction

CLC Number:

X948

LIU Mingqiang, LI Yingpan, CHENXiao, WANG Fang, LI Ruige, LI Xiaozhe. Prediction of safety-civilized measure cost for fabricated building project based on RS-LSSVM[J]. China Safety Science Journal, 2018, 28(1): 149-154.

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