Individually Adapted Neural Network for Pilot’s Final Approach Actions Modeling

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• 关键词：Individually adapted neural network model ; MIG ; AT flight simulator ; Network architecture ; Input vector composition ; Network parameters
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9719
• 期：1
• 页码：365-372
• 全文大小：267 KB
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• 作者单位：Veniamin Evdokimenkov (16)
  Roman Kim (16)
  Mikhail Krasilshchikov (16)
  German Sebrjakov (17)
  
  16. Moscow Aviation Institute (National Research Centre), Moscow, Russia
  17. State Research Institute of Aviation Systems, Moscow, Russia
  
• 丛书名：Advances in Neural Networks ¨C ISNN 2016
• ISBN：978-3-319-40663-3
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9719

文摘

The individually adapted neural network model for pilot’s final approach actions modeling allowing for touchdown accuracy forecast at any time instant on glide path is under consideration. Network model optimization algorithm, based on onboard flight recorder data, is suggested. Final approach test modeling on MIG-AT flight simulator by a group of pilots with different flight experience was executed. Results show pilot’s individual flying manner turns out by network architecture, input vector composition, and network parameters.