摘要
以人工神经网络(BP模型)为研究手段,将人工神经网络理论应用于静力载荷数据预测沉降,提出了一种有效的预测方法,并构造了预测沉降的神经网络模型,预测结果表明,该模型预测结果与实测值拟合较好,具有较高的预测精度。
The artificial neural networks （BP model） are used on settlement prediction of static load test data, An effective predicting method is put forward, and the neural networks model for settlement prediction is found. The predicting results indicate that the results of the model forecast is in a good coincidence with the actual survey results and can gain higher precision.
出处
《电力勘测设计》
2006年第3期14-17,共4页
Electric Power Survey & Design
关键词
人工神经网络
BP模型
沉降量
预测
artificial neural network
BP model
settlement
forecast.
