Neural network calibration of moderator temperature coefficient measurements in pressurized water nuclear reactors
<p>Neural networks have been shown to be capable of predicting the moderator temperature coefficient in a nuc1ear reactor by using the frequency response functions between the in-core neutron flux signal and the ex-core thermocouple signal as inputs. In this work, actual data from a nuc1ear re...
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| Format: | Others |
| Language: | en |
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Virginia Tech
2014
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| Online Access: | http://hdl.handle.net/10919/46087 http://scholar.lib.vt.edu/theses/available/etd-12042009-020108/ |