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

2012 ◽  
Vol 5 (6) ◽  
pp. 414-422 ◽  
Author(s):  
Monal Dutta ◽  
Pinaki Ghosh ◽  
Jayanta K. Basu
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Activated Carbon ◽  
Adsorption Capacity ◽  
Microwave Assisted ◽  
Direct Blue ◽  
Artificial Neural

Modeling of Drug Release from Matrix Tablets with Process Variables of Microwave-Assisted Modification of Arrowroot Starch Using Artificial Neural Network

2010 ◽  
Vol 152-153 ◽  
pp. 1700-1703 ◽  
Author(s):  
Suchada Piriyaprasarth ◽  
Pornsak Sriamornsak ◽  
Maneerat Juttulapa ◽  
Satit Puttipipatkhachorn
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Drug Release ◽  
Goodness Of Fit ◽  
Matrix Tablets ◽  
Process Variables ◽  
Microwave Assisted ◽  
Feed Forward Back Propagation ◽  
Artificial Neural ◽  
Arrowroot Starch

The objective of this study was to model the drug release property in terms of process variables of microwave-assisted modification of arrowroot starch using artificial neural network (ANN). The water content, microwave power and heating time were used as process variables for modification of arrowroot starch and the mean dissolution time was used as dependent variable. The correlation between process variables and dependent variable was examined using feed-forward back-propagation neural networks. The ANN model was optimized by considering goodness-of-fit and crossvalidated predictability. A “leave-one-out” cross-validation revealed that the neural network model could predict MDT values from matrix tablets with a reasonable accuracy (predictive r2 of 0.824 and predictive root mean square error of 19.53). The predictive ability of these models was validated by a set of 4 formulations that were not included in the training set. The predicted and observed MDT were well correlated.

Prediction of rhamnolipid breakthrough curves on activated carbon and Amberlite XAD-2 using Artificial Neural Network and Group Method Data Handling models

2015 ◽  
Vol 206 ◽  
pp. 293-299 ◽  
Author(s):  
Carlos Eduardo de Araújo Padilha ◽  
Carlos Alberto de Araújo Padilha ◽  
Domingos Fabiano de Santana Souza ◽  
Jackson Araújo de Oliveira ◽  
Gorete Ribeiro de Macedo ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Activated Carbon ◽  
Breakthrough Curves ◽  
Group Method ◽  
Data Handling ◽  
Artificial Neural ◽  
Group Method Data Handling
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