Three‐dimensional temperature distribution reconstruction using the extreme learning machine-Reference-Cited by-同舟云学术

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Three‐dimensional temperature distribution reconstruction using the extreme learning machine

Published:2017-06 Issue:4 Volume:11 Page:406-414
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET signal process.

Author:

Lei Jing¹,Liu Qibin²

Affiliation:

1. School of Energy, Power and Mechanical EngineeringNorth China Electric Power UniversityChangping DistrictBeijing102206People's Republic of China

2. Institute of Engineering ThermophysicsChinese Academy of SciencesHaidian DistrictBeijing100190People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-spr.2016.0338

Reference43 articles.

1. Unsteady flow sensing and estimation via the gappy proper orthogonal decomposition

2. Gappy data and reconstruction procedures for flow past a cylinder;Venturi D.;J. Fluid Mech.,2004

3. A Reconstruction Method for Gappy and Noisy Arterial Flow Data

4. Temperature field reconstruction from the partial measurement data using the gappy proper orthogonal decomposition method;Lei J.;IET Sci. Meas. Technol.,2013

5. Efficient sampling and compressive sensing for urban monitoring vehicular sensor networks;Yu X.;IET Wirel. Sensor Syst.,2012

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