Dynamic measurement errors prediction for sensors based on firefly algorithm optimize support vector machine-Reference-Cited by-同舟云学术

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Dynamic measurement errors prediction for sensors based on firefly algorithm optimize support vector machine

Published:2017-11 Issue: Volume:35 Page:250-256
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Jiang Minlan,Jiang Lan,Jiang Dingde,Xiong Jiping,Shen Jianguo,Ahmed Syed Hassan,Luo Jingyuan,Song Houbing

Funder

National Natural Science Foundations of China

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference21 articles.

1. Prediction of flashover voltage of insulators using least squares support vector machine with particle swarm optimisation;Bessedik;Electric Power Systems Research,2013

2. Application of fuzzy logic methodology for predicting dynamic measurement errors related to process parameters of coordinate measuring machines;Bulutsuz;Journal of Intelligent & Fuzzy Systems,2015

3. Dynamic model of NC rotary table in angle measurements with time series;Chen;Transactions of the Institute of Measurement and Control,2013

4. Temperature drift modeling and compensation of RLG based on PSO tuning SVM;Cheng;Measurement,2014

5. A model of the dynamic error as a measurement result of instruments defining the parameters of moving objects;Dichev;Measurement Science Review,2014

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