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

人工神经网络模型和公路复垦土地适宜性评价
引用本文:杨国栋,贾成前,孙立宏.人工神经网络模型和公路复垦土地适宜性评价[J].交通环保,2001,22(4):5-8.
作者姓名:杨国栋  贾成前  孙立宏
作者单位:1. 山西大学环境科学系,
2. 大同市土地开发复垦公司,
3. 运城环保局,
摘    要:提出了人工神经网络用于公路临时用地复垦土地适宜性评价,利用该模型对京大高速公路山西段复垦山西段复垦土地进行了适宜性评价,探讨了人工神经网络在土地复垦适宜性评价时的特点和注意问题。

关 键 词:模型  复垦土地  神经网络  适宜性评价  高速公路  临时用地复垦
文章编号:1006-4281(2001)04-0005-04
修稿时间:2001年5月12日

An Artificial Neural Network Model and Its Application for Suitabi-lity Assessment of the Reclaimed Land in Highway Construction
YANG Guo dong ,JIA Cheng qian ,SUN Li hong.An Artificial Neural Network Model and Its Application for Suitabi-lity Assessment of the Reclaimed Land in Highway Construction[J].Environmental Protection in Transportation,2001,22(4):5-8.
Authors:YANG Guo dong  JIA Cheng qian  SUN Li hong
Institution:YANG Guo dong 1,JIA Cheng qian 2,SUN Li hong 3
Abstract:An artifical neural network(ANN)model for the reclaimed land suitability assessment of temporary land use was formulated on the basis of environmental situation and properties across highway;The suitability of reclaimed land of Shanxi Section of Jingda Expressway is assessed;and the features and existing problems in the assessment is discussed.
Keywords:artificial neural network model  suitability assessment  expressway  temporary land  use reclaimation
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