An adaptive neuro-fuzzy inference system for assessing runway friction decay-Reference-Cited by-同舟云学术

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An adaptive neuro-fuzzy inference system for assessing runway friction decay

Published:2023-05 Issue: Volume:213 Page:112737
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Abbondati Francesco,Biancardo Salvatore Antonio,Veropalumbo Rosa,Chen Xinqiang,Dell'Acqua Gianluca

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference33 articles.

1. I-BIM for existing airport infrastructures;Abbondati;Transp. Res. Procedia,2020

2. Associazione Italiana Gestori Aeroporti (2020). Statistiche 2020. Retrieved from http://assaeroporti.com/statistiche_202012/. Accessed August 30, 2021.

3. A gradient boosting approach to understanding airport runway and taxiway pavement deterioration;Barua;Int. J. Pavement Eng.,2021

4. Surface roughness modeling and optimization of tungsten–copper alloys in micro-milling processes;Beruvides;Measurement,2016

5. Detection and characterization of cluster substructure I. Linear structure: fuzzy c-lines;Bezdek;SIAM J. Appl. Math.,1981

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1. A novel hybrid model based on grey wolf optimizer and group method of data handling for the prediction of monthly mean significant wave heights;Ocean Engineering;2023-09

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