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Hybrid Recurrent Neural Network in Greenhouse Microclimate Prediction

This study presents a hybrid recurrent neural network (RNN) approach for greenhouse microclimate prediction, combining a mechanistic model with an Elman network. The research addresses the gap in systematic comparisons between hybrid RNN and feedforward neural network (FFNN) architectures for greenh...

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Principais autores: Axel Escamilla-García, Genaro Martin Soto-Zarazúa, Carlos A. Olvera-Olvera, Manuel de Jesús López-Martínez, Manuel Toledano-Ayala, Gobinath Chandrakasan, Said Arturo Rodríguez-Romero
Format: Artigo
Jezik:Inglês
Izdano: MDPI AG 2026-01-01
Serija:AgriEngineering
Teme:
Elman network
greenhouse
hybrid neural networks
mechanistic model
microclimate
Online dostop:https://www.mdpi.com/2624-7402/8/1/4
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