Modeling and simulation of monochlorotriazinyl-B-cyclodextrin paper grafting by artificial neural network
This study presents the neural network modeling of monochlorotriazinyl- B-cyclodextrin (MCT-B-CD) grafting on paper supports. Neural networks are very efficient in predicting the evolution of a process, providing a good approximation ot the studied grafting process, further used for the interpolation and extrapolation of the results beyond the experimental range. The grafting was realized by a pad-dry-cure treatment and the mathematical model has
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