Forecasting of Tomato Yields Using Attention-Based LSTM Network and ARMA Model

Forecasting of Tomato Yields Using Attention-Based LSTM Network and ARMA Model

Nonlinear autoregressive exogenous (NARX), autoregressive integrated moving average (ARIMA) and multi-layer perceptron (MLP) networks have been widely used to predict the appearance value of future points for time series data. However, in recent years, new approaches to predict time series data base...

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Bibliographic Details
Main Authors: Wanhyun Cho, Sangkyuoon Kim, Myunghwan Na, Inseop Na
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Electronics
Subjects:
forecasting
tomatoes
yields
attention-based encoder network
autoregressive moving average model
Online Access:https://www.mdpi.com/2079-9292/10/13/1576

Internet

https://www.mdpi.com/2079-9292/10/13/1576

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