CAJ | 학술논문

神经网络作为一门快速发展起来的非线性科学,在处理一些背景不清楚而且极其复杂信息的时候,就会显示出其独特的优越性。本文通过Elman神经网络应用到滑坡变形监测中,建立预报模型,并以Matlab神经网络工具箱进行程序设计,最后运用到具体实例中,通过模型的预报精度,来验证Elman神经网络模型在滑坡监测预报中的可行性。
신경망락작위일문쾌속발전기래적비선성과학,재처리일사배경불청초이차겁기복잡신식적시후,취회현시출기독특적우월성。본문통과Elman신경망락응용도활파변형감측중,건립예보모형,병이Matlab신경망락공구상진행정서설계,최후운용도구체실례중,통과모형적예보정도,래험증Elman신경망락모형재활파감측예보중적가행성。
As a rapid development of nonlinear science in dealing with some background unclear and extremely complex information, neural network will show its unique superiority. This article applies Elman neural network to deformation monitoring of landslide to set up the forecasting model and Matlab neural network toolbox of MATLAB program design is applied to concrete examples. Through the model of prediction accuracy, the Elman neural network model to landslide monitoring and forecasting of feasibility is verified.