Expert System for Utmost Flight Data of Aircraft Based on Neural Networks
Yao Zong-xin · Nanjing Hangkong Hangtian Daxue xuebao · 2004
The process of reasoning utmost flight data becomes conc ise and clear because a method for expert system based on neural networks is uti lized in the process. If utmost flight data are figured out by general methods, th ere will be many shortages in the software for determining the utmost flight dat a. Ho wever, those shortages belonging to general methods will not be met in the above -mentioned method. Application of a fuzzy rule-based method used to d escribe reasoning action of neural networks make it possible that expert system can answer those inquires about why and how. This paper designs an expert syste m for determining utmost Mach number based on neural networks and gives a simple example. Finally, some are written for expounding the conclusions of studying t he expert system of the utmost flight data of the aircraft based on neural netwo rks.