CAJ | 학술논문

为了解决工程造价中关键影响因素难以选择以及模型估计精度不高的问题,提出了一种基于 LSSVM-SVIP 的工程造价动态软测量方法.该方法通过对样本数据的重构,获得具有动态性能的工程造价初始软测量模型.同时利用改进的变量投影性指标法对工程造价初始软测量模型中多个影响因素进行筛选,得到优化模型.并以最小二乘支持向量机作为非线性逼近器,建立工程造价的软测量模型.将该方法应用于工程造价案例中,结果表明:经SVIP方法优化后的模型结构简单,估计精度高,泛化能力强,能满足实际工程要求.
위료해결공정조개중관건영향인소난이선택이급모형고계정도불고적문제,제출료일충기우 LSSVM-SVIP 적공정조개동태연측량방법.해방법통과대양본수거적중구,획득구유동태성능적공정조개초시연측량모형.동시이용개진적변량투영성지표법대공정조개초시연측량모형중다개영향인소진행사선,득도우화모형.병이최소이승지지향량궤작위비선성핍근기,건립공정조개적연측량모형.장해방법응용우공정조개안례중,결과표명:경SVIP방법우화후적모형결구간단,고계정도고,범화능력강,능만족실제공정요구.
In order to solve difficulty to choose key influence factors of the project cost and accuracy of model estimation,a novel dynamic soft sensing strategy based on LSSVM-SVIP for the project cost is developed. Through reconstructing the sample data,an initial soft sensing model will be obtained,which has good dynamic performance. Meanwhile,these influence factors from the initial soft sensing model are selected by using variable importance in projection improved so as to obtain an optimization model. Then, LSSVM is considered as a nonlinear approximator to establish the soft sensing model of project cost. To verify the method,a real data set of the office buildings method is applied to test the model. Simulation results show that the model optimized by SVIP method has simpler model structure and higher accuracy,which can satisfy practical engineering requirement.