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Predicting alarms in supermarket refrigeration systems using evolved neural networks and evolved rulesets

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4 Author(s)

Supermarkets suffer serious financial losses owing to problems with their refrigeration systems. Most refrigeration units have controllers which output "high-temperature" and similar alarms. We describe a system developed to predict alarm volumes from this data in advance, and compare evolved and backpropagation-trained neural networks, and evolved rulesets for this task

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Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on  (Volume:2 )

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