Prediction of Adsorption Capacity of Microwave Assisted Activated Carbon for the Decolorization of Direct Blue 86 by using Artificial Neural Network

Research Article

Prediction of Adsorption Capacity of Microwave Assisted Activated Carbon for the Decolorization of Direct Blue 86 by using Artificial Neural Network

Monal Dutta, Pinaki Ghosh and Jayanta K. Basu

A three-layer feed forward neural network was used to predict the rate of adsorption of textile dye direct blue 86 using microwave assisted activated carbon. In the present study, the Levenberg-Marquardt back-propagation algorithm was used to train the neural network at various experimental conditions. The pH, contact time, initial dye concentration, adsorbent dose and temperature were chosen as the input variables whereas, the dye uptake capacity was considered as the output variable. The tan sigmoid and linear transfer functions had been selected to train the hidden and output layer of the network, respectively. According to Levenberg-Marquardt back-propagation algorithm the optimum number of neurons was found to be eight. The predicted and experimental values of the desired output variables were in good agreement with each other with a correlation coefficient value of 0.982.

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Monal Dutta, Pinaki Ghosh and Jayanta K. Basu, 2012. Prediction of Adsorption Capacity of Microwave Assisted Activated Carbon for the Decolorization of Direct Blue 86 by using Artificial Neural Network. Asian Journal of Applied Sciences, 5: 414-422.

DOI: 10.3923/ajaps.2012.414.422

URL: https://scialert.net/abstract/?doi=ajaps.2012.414.422

Asian Journal of Applied Sciences

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Authors

Monal Dutta

Pinaki Ghosh

Jayanta K. Basu

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Research Article

Prediction of Adsorption Capacity of Microwave Assisted Activated Carbon for the Decolorization of Direct Blue 86 by using Artificial Neural Network

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