Determinación del modelo matemático basado en redes neuronales del sistema de dosificación de sulfato de aluminio y cal de la planta de tratamiento de agua potable carigan.

In this memory or report the results of the design of a mathematical model based on neural networks dosing system aluminum sulfate and cal, treatment plant water Carigán, city of Loja exposed, was taken as a case study the dosage of sulfate, stage belonging to flocculation and coagulation of treatment process as well as its current dosing by plant operators. To create the mathematical model were considered strictly nonlinear methods based on Artificial Neural Networks (ANN), relying solely with the number of historical data, which was provided by the Unidad Adminstrativa Municipal de Agua Potable y Alcantarillado de Loja (UMAPAL). Unit of Ilustre Municipio de Loja To get to determine the database that feed entries RNA processing was performed comprehensive processing of all database provided was conducting, leading to extract data determining the process and in some cases made the filtering of the obtained data curve was effected. In the process of validation and testing of the mathematical model based of RNA, it was found that the results obtained by the selected RNA for each dosage is adjusted to the parameters obtain in laboratory, prior to the design process. For the development of the research was done using MATLAB®software engineering (Matrix Laboratory) used to develop of the process of creating mathematical model based on RNA.

• Hovedforfatter: Ochoa Vásquez, Edgar Alberto (author)
• Format: masterThesis
• Sprog: spa
• Udgivet: 2017
• Fag: <REDES NEURONALES><RNA><AGUA POTABLE>; <DOSIFICACIÓN DEL SULFATO DE ALUMINIO Y CAL><TRATAMIENTO DEL AGUA POTABLE>
• Online adgang: http://dspace.unl.edu.ec/jspui/handle/123456789/19415