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基于人工神经网络的边坡抗震抗滑稳定性评判方法

刘勇健

西北地震学报2001,Vol.23Issue(1):41-45,5.
西北地震学报2001,Vol.23Issue(1):41-45,5.

基于人工神经网络的边坡抗震抗滑稳定性评判方法

A METHOD FOR EVALUATION OF SLOPE STABILITY ON THE BASIS OF NEURAL NETWORK

刘勇健1

作者信息

  • 1. 广东工业大学,
  • 折叠

摘要

Abstract

Model of artificial neural network (ANN) for evaluation of slopestability is established based on the basic principle of artificial neural network.The BP model adopted in this paper is studied and tested by choosing real examples of 70 slopes in Sichuan and Yunnan areas as studying samples. It is proved that the error back-propagation (BP) algorithm is advanced and the prediction model is accurate and useful in practice ,for it is a new effective method.

关键词

人工神经网络/BP模型网络/评判方法/边坡稳定性

分类

天文与地球科学

引用本文复制引用

刘勇健..基于人工神经网络的边坡抗震抗滑稳定性评判方法[J].西北地震学报,2001,23(1):41-45,5.

西北地震学报

OA北大核心CSCD

1000-0844

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