Artificial Intelligence Models to Predict the Influence of Linear and Cyclic Polyethers on the Electric Percolation of Microemulsions
This book chapter presents three predictive models, based on artificial neural networks, to determine the percolation temperature of different AOT microemulsions in the presence of different additives (crown ethers, glymes, and polyethylene glycols), which were developed in our laboratory by differe...
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| Main Authors: | , , |
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| Format: | Ebooks |
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IntechOpen,
2020-05-25.
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| Online Access: | Get Online |
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