CAJ | 학술논문

建立了一种结构简单、精确度高、可操作性强的大坝变形数据高斯函数预测模型，克服了已有方法的不足。建模时利用MATLAB 遗传算法工具箱的主要函数ga()求出模型系数的初始值，再用搜索工具箱中的fminsearch函数求出模型系数的最终值。用16期观测数据建模，再用4期变形数据对模型进行检验，检验结果表明所建模型具有很高的精确度，预测效果远好于已有的一些预测模型，为变形预测提供了一种新方法、新思路。
건립료일충결구간단、정학도고、가조작성강적대패변형수거고사함수예측모형，극복료이유방법적불족。건모시이용MATLAB 유전산법공구상적주요함수ga()구출모형계수적초시치，재용수색공구상중적fminsearch함수구출모형계수적최종치。용16기관측수거건모，재용4기변형수거대모형진행검험，검험결과표명소건모형구유흔고적정학도，예측효과원호우이유적일사예측모형，위변형예측제공료일충신방법、신사로。
With characteristics of simple structure,high precision,and high operability,a gauss function model of predic-ting deformation data for dams is set up to overcome the shortcomings of the existing methods. The main function of ga( ) in the genetic algorithm toolbox( MATLAB) is adopted to calculate the initial value of model coefficient, and then the fminsearch function in search toolbox is used to obtain the final value of model coefficient. 16 sets of observation data are used to make modeling,and 4 groups of deformation data are used to test the model. The testing results show that the model has high accura-cy,and its prediction is far better than other existing prediction model. This new model provides a new method and new idea for deformation prediction.