Title: Using Rough set and RBF Nnetwork on Fault Diagnosis
Abstract: Using rough set and RBF network on fault diagnosis of fuel system of plane.The method eliminates unnecessary attributes from the decisiontable,after the minimum fault feature subset is selected,these selected samples will be sent to RBF neural network for diagnosis.The result of simulation indicates that this method can reduce the needed training samples and simplify the neural network structureand size.The efficiency of fault diagnosis has been greatly improved by using the system.
Publication Year: 2010
Publication Date: 2010-01-01
Language: en
Type: article
Access and Citation
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot