Abstract
In process control, neural networks may be applied in imitating a skilled process operator, learning to represent a realistic cost function for optimal control, fault and malfunction diagnosis, and process modelling. The possibility of using artificial neural networks for fault and accident diagnosis in the Loss Of Fluid Test (LOFT) reactor, a small scale pressurised water reactor, is examined and explained in the paper.
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© 1992 Springer-Verlag London Limited
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Jalel, N.A., Mirzai, A.R., Leigh, J.R., Nicholson, H. (1992). Application of Neural Networks in Process Control. In: Taylor, J.G. (eds) Neural Network Applications. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-2003-2_8
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DOI: https://doi.org/10.1007/978-1-4471-2003-2_8
Publisher Name: Springer, London
Print ISBN: 978-3-540-19772-0
Online ISBN: 978-1-4471-2003-2
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