Modeling by artificial neural networks of the performance indicators of the operation of a downdraft thermochemical gasifier

Descripción del Articulo

The research results are presented by the authors in the modeling of performance indicators of the operation of biomass gasification installations using artificial neural networks, starting by the classification of the information derived from the systemic analysis of its operation. A bibliographica...

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Detalles Bibliográficos
Autores: Gutierrez Gualotuña, Eduardo Roberto, Almeida Mera, Juan Carlos, Arzola Ruiz, José
Formato: artículo
Fecha de Publicación:2019
Institución:Universidad Nacional Santiago Antúnez de Mayolo
Repositorio:Revista UNASAM - Aporte Santiaguino
Lenguaje:español
OAI Identifier:oai:ojs.192.168.1.71:article/576
Enlace del recurso:http://revistas.unasam.edu.pe/index.php/Aporte_Santiaguino/article/view/576
Nivel de acceso:acceso abierto
Materia:Operación de procesos tecnológicos
análisis de sistemas
fuentes de energía renovable
redes neuronales artificiales
Descripción
Sumario:The research results are presented by the authors in the modeling of performance indicators of the operation of biomass gasification installations using artificial neural networks, starting by the classification of the information derived from the systemic analysis of its operation. A bibliographical study of previous related researches was developed. A 3N experimental plan with 3 replicas is made in order to generate four models according to their own performance indicators using neural networks. The quality indicators of the neural networks are compared with those obtained by nonlineal regression models. As biomass the Oryza sativa is used
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