ANN Based Learning to Kalman Filter Algorithm for Indoor Environment Prediction in Smart Greenhouse

In this article, we have proposed a learning to prediction based novel approach for improving the accuracy of prediction algorithms in dynamic conditions. The proposed model is composed of two modules, including the prediction module and the learning module. The learning module is responsible to reg...

Full description

Bibliographic Details

Published in:	IEEE Access
Main Authors:	Israr Ullah, Muhammad Fayaz, Nasir Naveed, Dohyeun Kim
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Subjects:	Artificial neural networks (ANN) Kalman filter learning to prediction smart greenhouse
Online Access:	https://ieeexplore.ieee.org/document/9166496/