摘要
针对高速公路建设中广泛存在的软土路基最终沉降量预测这一迫切需要解决的技术难题,提出了改进的BP神经网络预测模型,并归纳出影响软土路基沉降量的主要因素。通过对模型的建立、训练和验证,以及与其他方法的对比表明,改进的BP神经网络模型在非线性建模方面具有泛化性强、计算精度高、操作简便的独特优势,具有广阔的工程应用前景。
The prediction of final settlement of highway soft foundation call for solution. This paper puts forward the improved BP-NN model and sums up the most affecting settlement factor of highway soft foundation. Contrasted with others method,the improved BP-NN model which has wide application foreground possesses some predominance, such as good extensive and high precision and a urgent problem in the field.
出处
《地质科技情报》
CAS
CSCD
北大核心
2005年第B07期115-117,125,共4页
Geological Science and Technology Information
