Application of neural networks and fuzzy systems to power plants

Many of the problems that have occurred in the operation of nuclear power plants have been attributable in some measure to operator error, and therefore could have been prevented or alleviated by automation. Neural networks and fuzzy logic systems offer an interesting, challenging, and productive means of addressing many such problems. Although much of the work described has been to demonstrate feasibility of specific approaches, the results are encouraging and indicate that neural network and fuzzy logic systems techniques have the potential to enhance the performance, operability, and safety of nuclear power plants in a cost effective way.<<ETX>>

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