RBF Neural Network Case Teaching Research
作者单位：School of Information Science and TechnologyHainan University
会议名称：《Advances in Information Technology and Education》
会议日期：2011年
学科分类：12[管理学] 0401[教育学-教育学] 04[教育学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 040102[教育学-课程与教学论] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：partly supported by Hainan University Graduate Education Reform Project (yjg0117) by Natural Science Foundation of Hainan Province (60894) by Education Department of Hainan Province project (Hjkj2009-03)
关 键 词：Case teaching RBF neural network Tourists quantity
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 ***, 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.