Neural Modeling and Optimization of a Mechanical-chemical Treatment Applied for Some Industrial Effluents. A Roumanian Case Study

Autor:	Rodica Mariana Diaconescu, Carmen Zaharia
Jazyk:	angličtina
Rok vydání:	2017
Předmět:	artificial neural network (ANN) industrial wastewater treatment multilayers perceptron model (MLP) Chemistry QD1-999 General. Including alchemy QD1-65
Zdroj:	Chemistry Journal of Moldova: General, Industrial and Ecological Chemistry, Vol 12, Iss 2, Pp 19-27 (2017)
Druh dokumentu:	article
ISSN:	1857-1727 2345-1688
DOI:	10.19261/cjm.2017.394
Popis:	The paper proposes an artificial neural network model of multilayers perceptron type (MLP3:10:1) adapted for mechanical-chemical treatment system of an industrial effluent (i.e. coagulation-flocculation - sedimentation applied for an industrial effluent produced in a manufacturing plant of bricks and other ceramics) which is further optimized and tested for its validation.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/d49ddde8cb3b4b169eabe79e769e3770 Zobrazit plný text záznamu View record in DOAJ