CAJ | 학술논문

BP神经网络是工程中广泛应用的一种神经网格模型，对BP神经网络原理进行简要介绍，根据现场载荷试验数据，运用BP神经网络技术建立载荷试验过程中承压板沉降值与载荷值大小之间的相关性模型，并对载荷试验过程进行预测，将预测结果与实测值进行对比，结果表明预测结果与实测值基本吻合，为今后载荷试验过程模拟提供可借鉴的方法。
BP신경망락시공정중엄범응용적일충신경망격모형，대BP신경망락원리진행간요개소，근거현장재하시험수거，운용BP신경망락기술건립재하시험과정중승압판침강치여재하치대소지간적상관성모형，병대재하시험과정진행예측，장예측결과여실측치진행대비，결과표명예측결과여실측치기본문합，위금후재하시험과정모의제공가차감적방법。
BP neural network is a kind of neural network model that is widely applied in different projects. The principle of BP neural network is briefly introduced. Based on field load test data,BP neural network techniques are used to build the correlation model between the bearing plate settlement value and the load value in load test. The process of load test can be predicted,and the result basically coincides with the measured value by comparing each other,which will provide references for the simulation of load test process in the future.