首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于神经网络专家系统的边坡系统设计
引用本文:饶文碧,谢颂华,聂晖,夏元友.基于神经网络专家系统的边坡系统设计[J].华中科技大学学报(自然科学版),2002,30(8):31-33.
作者姓名:饶文碧  谢颂华  聂晖  夏元友
作者单位:武汉理工大学计算机科学与技术学院
基金项目:湖北省自然科学基金资助项目 ( 2 0 0 1ABB0 78)
摘    要:基于神经网络和专家系统自的特点,研究了神经网络和专家系统的集成系统,论述了系统的设计思想、总体结构及实现的基本原理,通过软件设计实现了“可视化”操作,系统具有知识自动获取,预测速度快,鲁棒性及容错能力强等特点,这一研究为解决边坡稳定性评估问题提供了一种有效途径。

关 键 词:边坡稳定性评估  神经网络  专家系统  集成系统
文章编号:1671-4512(2002)08-0031-03
修稿时间:2001年12月31

Models of integrating ANN with ES and their application in slope stability estimation
Rao Wenbi Xie Songhua Nie Hui Xia Yuanyou Assoc. Prof., School of Computer Sci. & Tech.,Wuhan University of Technology,Wuhan, China..Models of integrating ANN with ES and their application in slope stability estimation[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2002,30(8):31-33.
Authors:Rao Wenbi Xie Songhua Nie Hui Xia Yuanyou Assoc Prof  School of Computer Sci & Tech  Wuhan University of Technology  Wuhan  China
Institution:Rao Wenbi Xie Songhua Nie Hui Xia Yuanyou Assoc. Prof., School of Computer Sci. & Tech.,Wuhan University of Technology,Wuhan,430070 China.
Abstract:The advantages and disadvantages of neural networks and expert systems were discussed. The models of integrating ANN with ES were researched in order to use their advantages. The basic idea for the design , its general construction and theoretical considerations for this model were presented. By programming, the system can be operated visually. It provides an effective approach for slope stability estimation and has the features of gaining information automatically, fast estimation rate and high allowable error ability.
Keywords:slope stability estimation  neural network  expert system  integrating system  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号