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Journal of Aerospace Engineering
EISSN: 1943-5525
ISSN: 0893-1321
Priority: 6
Publisher: American Society of Civil Engineers
Description: The Journal of Aerospace Engineering promotes the implementation and development of space and aerospace technologies and their transfer to other civil engineering applications. Topics of interest include aerodynamics, computational fluid dynamics, wi More ...
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Novel Extreme Learning Machine Using Kalman Filter for Performance Prediction of Aircraft Engine in Dynamic Behavior
Publisher: ASCE
Abstract: In this paper, a novel state-propagation extreme learning machine using a Kalman filter (KF-ELM) is proposed. In comparison with the plain extreme learning machine, the proposed algorithm takes the topological parameters ...