The present paper deals with treatment of slaughterhouse wastewater by conducting a laboratory scale sequencing batch reactor (SBR) with different input characterized samples, and the experimental results are explored for the formulation of feedforward backpropagation artificial neural network (ANN) to predict combined removal efficiency of chemical oxygen demand (COD) and ammonia nitrogen ( -N). The reactor was operated under three different combinations of aerobic-anoxic sequence, namely, (4 + 4), (5 + 3), and (5 + 4) hour of total react period with influent COD and -N level of 2000 ± 100？mg/L and 120 ± 10？mg/L, respectively. ANN modeling was carried out using neural network tools, with Levenberg-Marquardt training algorithm. Various trials were examined for training of three types of ANN models (Models “A,” “B,” and “C”) using number of neurons in the hidden layer varying from 2 to 30. All together 29, data sets were used for each three types of model for which 15 data sets were used for training, 7 data sets for validation, and 7 data sets for testing. The experimental results were used for testing and validation of three types of ANN models. Three ANN models (Models “A,” “B,” and “C”) were trained and tested reasonably well to predict COD and -N removal efficiently with 3.33% experimental error. 1. Introduction The sequencing batch reactor (SBR) is the most promising and viable of the proposed activated sludge modifications for the removal of organic carbon and nutrients [1]. Due to its simplicity and flexibility of operation, it has become increasingly popular for the biological treatment of domestic and industrial wastewater [2]. The most common (aerated) SBR is a fill-and-draw activated sludge system for wastewater treatment. Equalization, aeration, and clarification can all be performed in a single batch reactor. In general, SBR systems have a relatively small footprint; they are useful for areas where the available land is limited. In addition, system cycles can be easily modified, making SBRs extremely flexible to adapt to more restrictive effluent quality standards by public authorities. The determination of the influent characteristics and effluent requirements, site specific parameters such as temperature, and key design parameters such as nutrient-to-biomass ratio, treatment cycle duration, suspended solids, and hydraulic retention time is imperative to establish the operation sequence of the SBR. It allows calculating the number of cycles per day, number of basins (batches), decanting volume, reactor size, and detention times. For most
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