Neural Networks Prediction of Ionic Mobilities in SF6-N2 mixture
The present work outlines the application of neural networks in the modelling and the Prediction of ionic mobility (μ) in SF6-N2 gas mixture using experimental data. At higher pressures, the mobility µ measured with conventional models is inversely proportional to the gas density (N-1). Experimental...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
ESRGroups
2018-03-01
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| Series: | Journal of Electrical Systems |
| Subjects: | |
| Online Access: | https://journal.esrgroups.org/jes/papers/14_1_7.pdf |