An Approach towards Increasing Prediction Accuracy for the Recovery of Missing IoT Data Based on the GRNN-SGTM Ensemble

An Approach towards Increasing Prediction Accuracy for the Recovery of Missing IoT Data Based on the GRNN-SGTM Ensemble

The purpose of this paper is to improve the accuracy of solving prediction tasks of the missing IoT data recovery. To achieve this, the authors have developed a new ensemble of neural network tools. It consists of two successive General Regression Neural Network (GRNN) networks and one neural-like s...

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Bibliographic Details
Main Authors: Roman Tkachenko, Ivan Izonin, Natalia Kryvinska, Ivanna Dronyuk, Khrystyna Zub
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
IoT sensors
missing data
ANN techniques
data imputation
GRNN
Successive Geometric Transformation Model
Online Access:https://www.mdpi.com/1424-8220/20/9/2625

Internet

https://www.mdpi.com/1424-8220/20/9/2625

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