Abstract
The purpose of this study is to analyze human pilot behavior at landing operation. The pilot model is constructed using neural network from the results of the simulator tests. The inputs to this model are observation cues such as the horizon and the runway, and pilot control inputs. The output is the elevator angle. The data on two cases (with wind, or with no wind) are used for learning. The constructed pilot models are simulated in various cases and their validity and generalization are investigated. Finally, the importance of each input is evaluated using factor analysis of the Neural Network model.
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