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- W2353467635 abstract "Sustained Load Flight Simulator is an important technical progress from low gravity load to high gravity load.It can realize the vivid simulation training for air combat.For sustained load existence,Body Perception Simulation is becoming to the core position.The classification algorithm was applied to assess the open-loop and closed-loop fidelity of flight simulator by the different grading weight in the data mining.Simplified Fuzzy Adaptive Resonance Theory Map(SFAM) has the advantages of the classification performance and the faster convergence speed.But SFAM presents classification errors and stability error when category of input pattern has large gap.In order to improve network performance,the adaptive alert parameters was applied to optimize the network,and Multi-SFAM compounded classifier was used to overcome the classification defect.The experiments show that improved Multi-SFAM classifiers have better classification accuracy in the classified process of various factors of impacting flight simulator fidelity.The Multi-SFAM compounded classifier is an effective method for the assessment of flight simulation fidelity." @default.
- W2353467635 created "2016-06-24" @default.
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- W2353467635 date "2009-01-01" @default.
- W2353467635 modified "2023-09-28" @default.
- W2353467635 title "Evaluation of Flight Simulator Fidelity by Improved SFAM Network and Multiple Classifiers" @default.
- W2353467635 hasPublicationYear "2009" @default.
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