Anzeige
Erschienen in:
2011 | OriginalPaper | Buchkapitel
RBF Neural Network Case Teaching Research
verfasst von : JingBing Li, HuaiQiang Zhang, YouLing Zhou, Yong Bai
Erschienen in: Advances in Information Technology and Education
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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.