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...

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Detalles Bibliográficos

Autores principales:	Israr Ullah, Muhammad Fayaz, Nasir Naveed, Dohyeun Kim
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2020-01-01
Colección:	IEEE Access
Materias:	Artificial neural networks (ANN) Kalman filter learning to prediction smart greenhouse
Acceso en línea:	https://ieeexplore.ieee.org/document/9166496/
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