Predictive analysis of urban waste generation for the city of Bogotá, Colombia, through the implementation of decision trees-based machine learning, support vector machines and artificial neural networks.

Solano Meza, Johanna Karina; Orjuela Yepes, David; Rodrigo-Ilarri, Javier; Cassiraga, Eduardo

Solano Meza, Johanna Karina; Orjuela Yepes, David; Rodrigo-Ilarri, Javier; Cassiraga, Eduardo.

Afiliação

Solano Meza JK; Department of Environmental Engineering, Santo Tomás University, Cra. 9 # 51-11, Bogotá, Colombia.
Orjuela Yepes D; Department of Environmental Engineering, Santo Tomás University, Cra. 9 # 51-11, Bogotá, Colombia.
Rodrigo-Ilarri J; Water and Environmental Engineering Institute (IIAMA), Polytechnic University of Valencia, Camino de Vera, s/n, 46022 Valencia, Spain.
Cassiraga E; Water and Environmental Engineering Institute (IIAMA), Polytechnic University of Valencia, Camino de Vera, s/n, 46022 Valencia, Spain.

Heliyon ; 5(11): e02810, 2019 Nov.

Article em En | MEDLINE | ID: mdl-31763474

Palavras-chave

Artificial intelligence; Artificial neural network; Environmental chemical engineering; Environmental science; Green engineering; Support vector machines; Tree through machine learning; Urban solid waste; Urban solid waste management; Waste; Waste treatment; Water treatment

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude País/Região como assunto: America do sul / Colombia Idioma: En Revista: Heliyon Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Colômbia País de publicação: Reino Unido

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