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边坡稳定性评价中的改进BP神经网络
引用本文:周雪亭. 边坡稳定性评价中的改进BP神经网络[J]. 矿业快报, 2005, 21(5): 14-16
作者姓名:周雪亭
作者单位:安徽马钢高级技工学校
摘    要:根据人工神经网络理论,对BP神经网络的性能进行改进,建立边坡稳定性分析模型,通过对搜集到的边坡稳定性实例进行学习和预测,能够快速准确地对边坡的稳定性进行分析评价。

关 键 词:边坡稳定性评价 人工神经网络 改进BP 网络
文章编号:1009-5683(2005)05-0014-03
修稿时间:2005-03-22

Improvement of BP Neural Net in Evaluation of Slope Stability
Zhou Xueting. Improvement of BP Neural Net in Evaluation of Slope Stability[J]. Express Information of Mining Industry, 2005, 21(5): 14-16
Authors:Zhou Xueting
Affiliation:Anhui Senior Technician School of Maanshan Iron & Steel Co.
Abstract:Based on the theory of artificial neural net, the property of BP neural net was improved and the model for analysis of slope stability was established. Through study and prediction of examples of slope stability, the analysis and evaluation of the slope stability could be carried out quickly and correctly.
Keywords:Evaluation of slope stability  Artificial neural net  Improvement of BP  Network
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