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Prediction of effluent concentration in a wastewater treatment plant using machine learning models.
Guo, Hong; Jeong, Kwanho; Lim, Jiyeon; Jo, Jeongwon; Kim, Young Mo; Park, Jong-pyo; Kim, Joon Ha; Cho, Kyung Hwa.
Afiliação
  • Guo H; School of Environmental Science and Engineering, Gwangju Institute of Science and Technology (GIST), 261 Cheomdan-gwagiro, Buk-gu, Gwangju 500-712, Republic of Korea.
  • Jeong K; School of Environmental Science and Engineering, Gwangju Institute of Science and Technology (GIST), 261 Cheomdan-gwagiro, Buk-gu, Gwangju 500-712, Republic of Korea.
  • Lim J; School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan 689-798, Republic of Korea.
  • Jo J; School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan 689-798, Republic of Korea.
  • Kim YM; School of Environmental Science and Engineering, Gwangju Institute of Science and Technology (GIST), 261 Cheomdan-gwagiro, Buk-gu, Gwangju 500-712, Republic of Korea.
  • Park JP; HECOREA. INC, 405, Woori Venture Town II, 70, Seonyu-ro, Yeongdeungpo-gu, Seoul, Republic of Korea.
  • Kim JH; School of Environmental Science and Engineering, Gwangju Institute of Science and Technology (GIST), 261 Cheomdan-gwagiro, Buk-gu, Gwangju 500-712, Republic of Korea.
  • Cho KH; School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan 689-798, Republic of Korea. Electronic address: khcho@unist.ac.kr.
J Environ Sci (China) ; 32: 90-101, 2015 Jun 01.
Article em En | MEDLINE | ID: mdl-26040735

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Qualidade da Água / Redes Neurais de Computação / Purificação da Água / Máquina de Vetores de Suporte / Águas Residuárias / Nitrogênio Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies País/Região como assunto: Asia Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Qualidade da Água / Redes Neurais de Computação / Purificação da Água / Máquina de Vetores de Suporte / Águas Residuárias / Nitrogênio Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies País/Região como assunto: Asia Idioma: En Ano de publicação: 2015 Tipo de documento: Article