The Use of Artificial Neural Network (ANN) for Modelling, Simulation and Prediction of Advanced Oxidation Process Performance in Recalcitrant Wastewater Treatment

Elmolla, Emad S.; Chaudhuri, Malay

doi:10.5772/14920

Cited by 10 publications

(4 citation statements)

References 35 publications

(35 reference statements)

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“…An artificial neural network (ANN) is an assembly of simple processing elements known as neurons or nodes, analogous to the neurons in the brain (Elmolla and Chaudhuri 2011). Weights connect these neurons represent the strength of these interconnections.…”

Section: Artificial Neural Network (Ann)mentioning

confidence: 99%

Biodegradation of Naphthalene Using Glass Beads Roller Bioreactor: Application of Artificial Neural Network Modeling

Mohammed

Mustafa

Jabbar

2021

Preprint

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A roller bioreactor containing inert glass beads was employed to enhance naphthalene biodegradation in an aqueous solution. Mixed culture of microorganisms was isolated from sewage waste sludge and adopted for naphthalene biodegradation. The biodegradation of 300mg/L naphthalene in the bioreactor with no glass beads proceeded slowly until depletion after seven days. In the presence of glass beads, the biodegradation rate was faster; it depleted after four days. The biodegradation rate of naphthalene was equal to 1.99 mgL-1 hr-1 for bioreactor with no beads, while it is equal to 5.42, and 5.54 mgL-1 hr-1 for bioreactor with 40%load, 6mm size and 50% load, 5mm size of glass beads, respectively. For 500mg/L naphthalene, nine days on the bioreactor with no glass beads and five days on glass beads bioreactors were required to complete depletion. The biodegradation rate is equal to 2.33, 7.29, and 7.85 mg/L-1hr-1 for bioreactors with no glass beads, 40% load with 6mm, and 50% load with 5mm glass beads, respectively. The specific growth rate was increased in the bioreactor with glass beads; it represents 0.031, 0.050, and 0.054 hr−1 for 300mg/L and 0.043, 0.061, and 0.065 hr−1 for 500mg/L respectively for the previously mentioned conditions. An artificial neural network was used to model naphthalene dissolution and biodegradation. A correlation coefficient of 99.2% and 98.3% were obtained between the experimental and predicted output values for dissolution and biodegradation, respectively, indicating that the ANN model could efficiently predict the experimental results. Time represents the most influential parameter on the dissolution and biodegradation treatment.

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Section: Artificial Neural Network (Ann)mentioning

confidence: 99%

Biodegradation of Naphthalene Using Glass Beads Roller Bioreactor: Application of Artificial Neural Network Modeling

Mohammed

Mustafa

Jabbar

2021

Preprint

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“…Neuronska mreža je sistem koji se sastoji od velikog broja međusobno povezanih, jednostavnih elemenata procesiranja koji rade paralelno [21,22]. Funkcija neuronske mreže je određena strukturom mreže, težinom veza i obradom u elementima procesiranja [23]. Veštačka neuronska mreža je sačinjena od međusobno povezanih neurona prema određenim pravilima.…”

Section: Određivanje Veštačke Neuronske Mrežeunclassified

“…Na slici 2 je prikazana struktura veštačke neuronske mreže sa tri sloja. Veze u mreži mogu da budu između neurona iz različitih slojeva ili između neurona iz istog sloja [23], a arhitekturu ili topologiju veštačke neuronske mreže predstavlja specifično uređenje i povezivanje neurona u obliku mreže. U literaturi se mogu pronaći radovi u kojima se koriste različite metode za formiranje arhitekture neuronske mreže za izgradnju optimalnog modela za bolje predviđanja procesa [21][22][23][24].…”

Section: Određivanje Veštačke Neuronske Mrežeunclassified

“…Veze u mreži mogu da budu između neurona iz različitih slojeva ili između neurona iz istog sloja [23], a arhitekturu ili topologiju veštačke neuronske mreže predstavlja specifično uređenje i povezivanje neurona u obliku mreže. U literaturi se mogu pronaći radovi u kojima se koriste različite metode za formiranje arhitekture neuronske mreže za izgradnju optimalnog modela za bolje predviđanja procesa [21][22][23][24]. U ovom radu, formirana je standardna neuronska mreža sa tri sloja, u kojoj ulazni sloj čine čvorovi koji predstavljaju različite procesne parametre (sastav PVC smeše, temperatura i vreme ekspanzije), izlazni čvorovi su ispitivana svojstva PVC podnih obloga, a broj skrivenih slojeva čvorova je određen tako da se dobije najbolja korelacija.…”

Section: Određivanje Veštačke Neuronske Mrežeunclassified

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The use of artificial neural networks for mathematical modeling of the effect of composition and production conditions on the properties of PVC floor coverings

Radovanovic¹,

Jovičić

Bera

et al. 2017

Hem Ind

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The application of PVC floor coverings is strongly connected with their end-use properties, which depend on the composition and processing conditions. It is very difficult to estimate the proper influence of the production parameters on the characteristics of PVC floor coverings due to their complex composition and various preparation procedures. The effect of different processing variables (such as time of bowling, temperature of bowling and composition of PVC plastisol) on the mechanical properties of PVC floor coverings was investigated. The influence of different input parameters on the mechanical properties was successfully determined using an artificial neural network with an optimized number of hidden neurons. The Garson and Yoon models were applied to calculate and describe the variable contributions in the artificial neural networks. [Projekat Ministarstva nauke Republike Srbije, br. III 45022]

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Prediction of Selected Water Quality and Macronutrients Parameters in an Aquaponic System Using Artificial Neural Network (ANN)

Osman

Rahman

Setumin

et al. 2023

Springer Proceedings in Physics

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The Use of Artificial Neural Network (ANN) for Modelling, Simulation and Prediction of Advanced Oxidation Process Performance in Recalcitrant Wastewater Treatment

Cited by 10 publications

References 35 publications

Biodegradation of Naphthalene Using Glass Beads Roller Bioreactor: Application of Artificial Neural Network Modeling

Biodegradation of Naphthalene Using Glass Beads Roller Bioreactor: Application of Artificial Neural Network Modeling

The use of artificial neural networks for mathematical modeling of the effect of composition and production conditions on the properties of PVC floor coverings

Prediction of Selected Water Quality and Macronutrients Parameters in an Aquaponic System Using Artificial Neural Network (ANN)

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