Application of a neural network to predict the FAC rate of NPP equipment
The intensity of the flow accelerated corrosion (FAC) process depends on a great number of parameters with a complicated effect on each other. The use of an intellectual neural network (INN) to solve the FAC prediction problem makes it possible to estimate the mutual effects from all the factors inv...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
National Research Nuclear University (MEPhI)
2016-03-01
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| Series: | Nuclear Energy and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2452303816300127 |