The Study on the Gray Neural Network Model and Its Application in the Prediction

被引：0
|
作者：
Peng Wen-tao [1 ]
Wu Jun [1 ]
Chen Ying-qing [2 ]
Xiao Xuan [2 ]
Zhong Luo [2 ]
机构：
[1] Wuhan Univ Technol, Coll Civil Engn & Architecture, Wuhan 430070, Peoples R China
[2] Wuhan Univ Technol, Sch Comp Sci & Technol, Wuhan 430070, Peoples R China
来源：
2009 PACIFIC-ASIA CONFERENCE ON KNOWLEDGE ENGINEERING AND SOFTWARE ENGINEERING, PROCEEDINGS | 2009年
关键词：
Gray neutral network; pile capacity; Prediction model;
D O I：
10.1109/KESE.2009.15
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The study on the bearing capacity and settlement is important to a project. It is useful and concrete to develop a model with some intelligent methods in artificial intelligence area for the prediction of some big structure projects. The validity of the models has been proved by some civil engineering practices. Therefore, the research of bearing capacity and settlement characteristics of rigid pile composite foundation has been the focus of the basic engineering research area in foundations. This paper established a model based on the Cray RBF neutral network which is a combination of gray model and RBF neutral network model and realized the model with Matlab7.0.
引用
收藏
页码：28 / +
页数：2
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