Study on Model of Organic Bentonite Adsorption for Phenol Based on Artificial Neural Network

Shang Chao Liu; Jin Xuan Zhou; Gai Feng Xue

doi:10.4028/www.scientific.net/AMM.675-677.460

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 675-677Study on Model of Organic Bentonite Adsorption for...

Study on Model of Organic Bentonite Adsorption for Phenol Based on Artificial Neural Network

Abstract:

This paper studied the adsorption of organic bentonite for phenol solution by changing the condition of organic bentonite dosage, phenol concentration temperature, adsorption time. According to the experimental results The system of BP neural network was evaluated by Matlab software to forecasting the complex nonlinear relationship between the amount of phenol solution concentration, adsorption time, solution temperature and remove rate of phenol, Experimental data used for the neural network model is more than 534 times of training. After training, the model achieves an accuracy of 0.0001. Finally, a group of test is forecasted by the data model. The results showed that predictive value and measured value of absolute error is only 0.0032 and0.0016. The predicted results show that in the system, a BP neural network model is evaluated successful..This template explains and demonstrates how to prepare your camera-ready paper for Trans Tech Publications. The best is to read these instructions and follow the outline of this text.

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Periodical:

Applied Mechanics and Materials (Volumes 675-677)

Pages:

460-465

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.675-677.460

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Online since:

October 2014

Authors:

Shang Chao Liu*, Jin Xuan Zhou, Gai Feng Xue

Keywords:

Adsorption, BP Artificial Neural Network, MATLAB, Organic Bentonite, Phenol

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* - Corresponding Author

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