RBF Neural Network Case Teaching Research

被引：0

作者：

Li, JingBing ^{[1
]}

Zhang, HuaiQiang ^{[1
]}

Zhou, YouLing ^{[1
]}

Bai, Yong ^{[1
]}

机构：

[1] Hainan Univ, Sch Informat Sci & Technol, Haikou 570228, Peoples R China

来源：

ADVANCES IN INFORMATION TECHNOLOGY AND EDUCATION, PT I | 2011年 / 201卷

关键词：

Case teaching; RBF neural network; Tourists quantity;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, the RBF neural network case teaching has been studied. In the actual teaching process, we find it more difficult for student to learn the course, duing to the RBF neural network curriculum theory is more stronger. Many students do not know how to use the theory to solve practical problems. Therefore, we equip students with basic knowledge of RBF neural network through case teaching. In this paper, a RBF neural network example has been analysised and applied to enable the students to learn RBF neural network. Teaching practice shows that case teaching can achieve better teaching effectiveness.

引用

页码：351 / 355

页数：5