Using Artificial Neural Networks to Model Non-Linearity in a Complex System
This paper describes an investigation into using artificial neural networks (ANNs) to model the non-linearities in a complex system, a nuclear reactor. A simple one compartment finite difference model of the plant is developed and an exact ANN equivalent formed directly without training. Conventional training using standard transfer functions available in ANN packages is compared with this. A novel method is used to produce the ANN training and test sets. A twenty five compartment model is built from directly formed ANNs and the results compared to a simulator model.
KeywordsArtificial Neural Network Artificial Neural Network Model Compartment Model Steam Generator Reactor Pressure Vessel
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