Application of ANFIS in Aviation Material Spare Parts Requirement Prognostication
Kang Zheng-lian · Journal of Sichuan Ordnance · 2015
For using traditional aviation material spare parts sorting methods and experiential methods to prognosticate its requirements are very ineffective and inaccurate,more than six observably involved correlative elements factors affect the aviation materials supplement were analyzed and the method called ANFIS( adaptive network based fuzzy inference system) was adopted to build aviation material spare parts prediction model and to get the model building flow chart,through which solving means were given based on MATLAB. Example analysis shows that the outcome data is true of the originally data,which is effective.Comparing the outcome data by using this method with data getting from BP neural network method and multiple linear regressions,we can conclude that this method is better and offers a new method for aviation material spare parts requirement's prognostication.