Author:
Mo Kun,Lee Seung Jun,Seong Poong Hyun
Subject
Waste Management and Disposal,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality,Nuclear Energy and Engineering
Reference23 articles.
1. Comparisons between the various types of neural networks with the data of wide range operational conditions of the Borssele NPP;Ayaz;Progress in Nuclear Energy,2003
2. Bartal, Y., Lin, J., Uhrig, R.E., 1994. Nuclear power plants transient diagnostics using LVQ or some networks don't know that they don't know. In: IEEE International Conference on Neural Networks. p. 3744.
3. Nuclear-power-plant transient diagnostics using artificial neural networks that allow dont-know classifications;Bartal;Nuclear Technology,1995
4. Incipient multiple-fault diagnosis in real-time with application to large-scale systems;Chung;IEEE Transactions on Nuclear Science,1994
5. Hybrid identification of nuclear power plant transients with artificial neural networks;Embrechts;IEEE Transactions on Industrial Electronics,2004
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