Experimental Evaluation and Theoretical Optimization of an Indirect Solar Dryer with Forced Ventilation under Tropical Climate by an Inverse Artificial Neural Network

Experimental Evaluation and Theoretical Optimization of an Indirect Solar Dryer with Forced Ventilation under Tropical Climate by an Inverse Artificial Neural Network

In this theoretical–experimental study is presented a hybridization strategy based on the application of an inverse artificial neural network model (ANNi) coupled with metaheuristic optimization algorithms to optimize the drying velocity (<i>v<sub>d</sub></i>) of an active in...

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Bibliographic Details
Main Authors: M. Moheno-Barrueta, O. May Tzuc, G. Martínez-Pereyra, V. Cardoso-Fernández, L. Rojas-Blanco, E. Ramírez-Morales, G. Pérez-Hernández, A. Bassam
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
solar dryer
forced ventilation
artificial neural network inverse
metaheuristic optimization
optimal operating conditions
Online Access:https://www.mdpi.com/2076-3417/11/16/7616

Internet

https://www.mdpi.com/2076-3417/11/16/7616

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