Tool And Algorithms for Rapid Source Term Prediction (RASTEP) Based on Bayesian Belief Networks
In case of an accident in a nuclear power plant (NPP), the fast and cor-rect identification of the NPP state that would give a prediction of a possible radioactive release presents a major challenge to both nuclear power plants and regulators. Such prediction is important so that correct and timely...
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Format: | Others |
Language: | English |
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Uppsala universitet, Institutionen för informationsteknologi
2015
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-256964 |