CAJ | 학술논문

通过采用BP神经网络对铁路建设期间冻土温度变化及冻土路基沉降进行了评价和预测,该方法减少了人为因素的干扰,有很强大的非线性映射能力,可以相对精确进行较长时间、较大范围的冻土路基沉降预测,弥补了现场实测数据的不足,可推广应用。
통과채용BP신경망락대철로건설기간동토온도변화급동토로기침강진행료평개화예측,해방법감소료인위인소적간우,유흔강대적비선성영사능력,가이상대정학진행교장시간、교대범위적동토로기침강예측,미보료현장실측수거적불족,가추엄응용。
This paper using BP neural network made evaluation and prediction to temperature changes and roadbed settlement of frozen soil during the period of railroading,this method reduced the interference of human factors,had very strong nonlinear mapping ability,could be relatively accurate for a long time,wide range of frozen soil roadbed settlement prediction,made up the lack of field test data,could be widely used.