SOIL CLASSIFICATION BY NEURAL-NETWORK

被引:36
作者
CAL, Y
机构
[1] Shanghai Research Center of Technology, Chinese Academy of Science, Shanghai, 200233
关键词
NEURAL NETWORK; SOIL CLASSIFICATION;
D O I
10.1016/0965-9978(94)00035-H
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Soil is a product of weathering. The factors that affect the naming of soil are quite complex. Based on the three main factors (plastic index, liquid limit water capacity, and clay content), and by using a typical neural network - back-propagation model (Yin Hongfeng, Pattern Recognition and Artificial Intelligence, 1990, 3(1), 1-12) the author is trying to give a quantitative soil classification. As a more satisfying result was obtained, the neural network model is expected to be referred to as an effective technique for soil classification.
引用
收藏
页码:95 / 97
页数:3
相关论文
共 2 条
[1]  
HECHTNIELSON R, 1989, JUN INT J C NEUR NET
[2]  
QIBING, 1991, J HEBEI GEOLOGICAL I, V14, P291