An application of Deep Neural Networks to the in-flight parameter identification for detection and characterization of aircraft icing-Reference-Cited by-同舟云学术

An application of Deep Neural Networks to the in-flight parameter identification for detection and characterization of aircraft icing

Published:2018-06 Issue: Volume:77 Page:34-49
ISSN:1270-9638
Container-title:Aerospace Science and Technology
language:en
Short-container-title:Aerospace Science and Technology

Author:

Dong Yiqun

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference40 articles.

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5. An interdisciplinary approach to inflight aircraft icing safety;Brag,1998

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