Estimation of Bod-Cod-Ss Parameters in Textile Wastewater by using Artificial Neural Network

This study has been done by the aim of estimeting BOD (Biological Oxygen Demand)-COD (Chemical Oxygen Demand)-SS (Suspended Solid) parameters in the wastewater of textile industry which has been established in Sakarya City. Wastewater and domestic quantitatived water, which is originated from this plant, is treated with biological treatment by using activated sludge treatment plant. BOD, COD,SS parameters, which are used in this study, have 20 unit values and the values are in the form of measured values in the treatment plant influence and treatment plant effluence. For the each parameter 40 unit values have been found on the point of treatment plant influence and treatment plant effluence. By using these values in the back probagation artificia l neural network, 15 unit have been used as training, 5 unit have been as test value of 20 unit values which belong to each parameter and values have been tried to estiamate. When the results of artificial neural network has been examined, calculated values have been seemed to approached very closed to real values.