An evaluation of tannery industry wastewater treatment sludge gasification by artificial neural network modeling

Evaluating the performance of a sequencing batch reactor for sanitary wastewater treatment using artificial neural network

“…These units are called neurons. Neuron is the smallest information processing unit that forms the basis of the neural networks operation 12 . There is a connection between each two neurons with a weight of W .…”

“…ANN is especially used to solve complicated and nonlinear problems with a wide range of inputs. 12 The ANN capability in modeling is due to its educational mechanism that is inspired from biologic neural systems. 13 In the last decades, many studies have been performed on the plant.…”

“…Also, a wide range of scientific and engineering problems can be solved via these methods especially when the conventional modeling methods fail to analyze. ANN is especially used to solve complicated and nonlinear problems with a wide range of inputs 12 . The ANN capability in modeling is due to its educational mechanism that is inspired from biologic neural systems 13…”

Modelling and optimization of a pilot-scale entrained-flow gasifier using artificial neural networks

“…proposed an ANN model to observe variations in the syngas related to operational conditions in a tannery industry wastewater treatment sludge gasification system. 46 Mikulandric et al analyzed the possibilities of neural networks to predict process parameters of a fixed bed gasifier in a biomass gasification process with high speed and accuracy. 47 Puig-Arnavat presented an ANN model for biomass gasification in fluidized bed reactors.…”

Metal Removal and Recovery from Mining Wastewater and E-Waste Leachate

“…In ANNs, a set of numerical data containing the input and output variables can be mapped adequately by a suitable algorithm and be used for system identification, prediction and pattern recognition purposes (Li et al, 2009;Mjalli et al, 2005). There are many studies which use ANN for many kinds of wastewater treatment, for example penicillin-G (Mullai et al, 2011), tannery (Ongen et al, 2013), and high sulfate and metal contaminated (Atasoy et al, 2013;Bayrakdar et al, 2009;Sahinkaya et al, 2010) wastewater treatment. These studies have clearly demonstrated the efficiency of neural networks.…”