Dynamic Behavior Forecast of an Experimental Indirect Solar Dryer Using an Artificial Neural Network

Dynamic Behavior Forecast of an Experimental Indirect Solar Dryer Using an Artificial Neural Network

This research presents the prediction of temperatures in the chamber of a solar dryer using artificial neural networks (ANN). The dryer is a forced-flow type and indirect. Climatic conditions, temperatures, airflow, and geometric parameters were considered to build the ANN model. The model was a fee...

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Bibliographic Details
Main Authors: Angel Tlatelpa Becerro, Ramiro Rico Martínez, Erick César López-Vidaña, Esteban Montiel Palacios, César Torres Segundo, José Luis Gadea Pacheco
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:AgriEngineering
Subjects:
solar dryer
thermal analysis
electronic instrumentation
artificial neural networks
feedforward propagation algorithm
Online Access:https://www.mdpi.com/2624-7402/5/4/149

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