Combination of Feature Selection and Learning Methods for IoT Data Fusion

Combination of Feature Selection and Learning Methods for IoT Data Fusion

In this paper, we propose five data fusion schemes for the Internet of Things (IoT) scenario,which are Relief and Perceptron (Re-P), Relief and Genetic Algorithm Particle Swarm Optimization (Re-GAPSO), Genetic Algorithm and Artificial Neural Network (GA-ANN), Rough and Perceptron (Ro-P)and Rough and...

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Bibliographic Details
Main Authors: V. Sattari-Naeini, Zahra Parizi-Nejad
Format: Article
Language:English
Published: Amirkabir University of Technology 2017-12-01
Series:AUT Journal of Electrical Engineering
Subjects:
internet of things
data fusion
rough set theory
perceptron
gapso
Online Access:https://eej.aut.ac.ir/article_1960_5b7511e4f87d3b6a9eb1a6bc95cececc.pdf
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