A neural model for transient identification in dynamic processes with “don't know” response

Author:

Mol Antônio C.de A.,Martinez Aquilino S.,Schirru Roberto

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference11 articles.

1. Nuclear power plant transient diagnostics using artificial neural networks that allow “don't know” classifications”;Bartal;Nuclear Technology,1995

2. Application of neural networks to a connectionist expert system for transient identification in nuclear power plants;Cheon;Nuclear Techology,1993

3. A new method for nuclear plant diagnostics using neural networks;Dhanwada;Trans. Am. Nuc. Soc.,1992

4. Furukawa H., Ueda T., Kitamura, M., 1995. Use of self-organizing neural networks for rational definition of plant diagnostic symptoms. In: Proceedings of the International Topical Meeting on Computer-Based Human Support Systems, pp. 441–448 (1995).

5. Neural Networks a Comprehensive Foundation;Haykin,1999

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