A Novel Learning Evaluation Method Based on RBF Neural Network

Autor:	Fa Hong Yu, Wei Zhi Liao, Mei Jia Chen
Rok vydání:	2013
Předmět:	Probabilistic neural network Neutral network Artificial neural network Computer science business.industry Evaluation methods Pattern recognition Basis function Radial basis function General Medicine Artificial intelligence business Hierarchical RBF
Zdroj:	Applied Mechanics and Materials. :1697-1700
ISSN:	1662-7482
Popis:	There are many learning evaluation methods, but most of them are subjective, which contains a lot of man-made factors. This paper presents a new learning evaluation method based on radial basis function (RBF) neutral network. By analysis the orthogonal least squares for RBF and determines the center of the basis functions, the model of RBF neural network was constructed. Experimental studies show that the Method Based on RBF Neural Network is effective for learning Evaluation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::552de74121b003bcf6859771c3cabf5a https://doi.org/10.4028/www.scientific.net/amm.385-386.1697 Zobrazit plný text záznamu