Representing and diagnosing dynamic proc
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R. Vaidyanathan; V. Venkatasubramanian
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Article
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1992
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Elsevier Science
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English
β 959 KB
A technique for representing and diagnosing dynamic process trend data using neural networks is presented. The approach employs a feedforward neural network with backpropagation as the learning algorithm. Two methods of presenting symptom patterns to the network, one using raw time-series values of