ABSTRACT
A predictive model based on artificial neural networks (ANNs) for modeling primary settling tanks' (PSTs) behavior in wastewater treatment plants was developed in this study. Two separate ANNs were built using input data, raw wastewater characteristics, and operating conditions. The output data from the ANNs consisted of the total suspended solids (TSS) concentration and chemical oxygen demand (COD) as predictions of PSTs' typical effluent parameters. Data from a large-scale wastewater treatment plant was used to illustrate the applicability of the predictive model proposal. The ANNs model showed a high prediction accuracy during the training phase. Comparisons with available empirical and statistical models suggested that the ANNs model provides accurate estimations. Also, the ANNs were tested using new experimental data to verify their reproducibility under actual operating conditions. The predicted values were calculated with satisfactory results, having an average absolute deviation of <20%. The model could be adapted to any large-scale wastewater plant to monitor and control the operation of primary settling tanks, taking advantage of the ANNs' learning capacity.
Subject(s)
Waste Disposal, Fluid , Wastewater , Biological Oxygen Demand Analysis , Neural Networks, Computer , Reproducibility of Results , Waste Disposal, Fluid/methodsABSTRACT
La malposición visceral, una rara malrotación de los órganos abdominales, frecuentemente ocurren con cardiopatías complejas. La distribución en "imagen en espejo" de las vísceras seguida por una orientación del apex cardiaco a la derecha, se denomina dextrocardia en situs inversus. Fundamentado en este concepto, revisamos la literatura médica y relacionamos los casos observados en nuestra institución médica de atención pública. Es estudio incluyó 1517 pacientes con sospecha de cardiopatía a partir de 1995 a 1997; se identificaron los criterios de inclusión-exclusión y se unificaron los métodos de diagnóstico para evitar sesgo. Se detectaron 14 casos deSitus Inversus distribuidos por sexos y grupos etáreos y se analizó la complejidad...