A Reversible Automatic Selection Normalization (RASN) Deep Network for Predicting in the Smart Agriculture System

A Reversible Automatic Selection Normalization (RASN) Deep Network for Predicting in the Smart Agriculture System

Due to the nonlinear modeling capabilities, deep learning prediction networks have become widely used for smart agriculture. Because the sensing data has noise and complex nonlinearity, it is still an open topic to improve its performance. This paper proposes a Reversible Automatic Selection Normali...

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Bibliographic Details
Main Authors: Xuebo Jin, Jiashuai Zhang, Jianlei Kong, Tingli Su, Yuting Bai
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Agronomy
Subjects:
normalization
time series prediction
reversible normalization
deep learning
automatic normalization
Smart Agriculture System
Online Access:https://www.mdpi.com/2073-4395/12/3/591

Internet

https://www.mdpi.com/2073-4395/12/3/591

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