A Quantization Model For Flight Training Assessment

• Main Authors: Liech-Ming Liu, 劉烈銘
• Other Authors: Hung-Sying Jing
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/50265901285693589426

碩士 === 國立成功大學 === 航空太空工程學系專班 === 97 === This study intended to establish a set of flight training simulation platform, using the flight simulator create a model to explain and predict phenomena according to the theory of neural networks. First, this study contains the location of the change in the definition of the four parameters P1 ~ P4 and the angle variation of five parameters D1 ~ D5. In the subjects given, learners operate an integrated simulator landing stage of flight data to meet the aircraft and instructors to give students hands-on consolidated results. And then for the visual route trilateral, quadrilateral, and five edge-to-landing phases, with 37 operators’ experiments through interviews with senior instructors, the instructors selected seven simulator modules to assess and define the effectiveness of the actual operation of the parameters. Through the way of neural network learning , the establishment of the definition of parameters of simulator training with the students finished the cause and effect comprehensive results relationship, so this research create a set of objective assessment of the effectiveness of flight training simulation platform. The patterns are across cognitive limitations and beyond the past, psychology and purely theoretical point of view. Quantitative approach provide objective training method with the implementation of flight training instructor, it is a representative and effectiveness way to flight training.