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- W2157137927 abstract "A principle is introduced for avoiding the use of a neural network model outside its validity domain defined by observations used for training and validation. The principle is based on clustering the regressor training data and projecting the input vector to the validity domain described by the cluster centers. The confidence level for the projection can be specified. The method is illustrated by two examples: a friction force model in an elevator simulator and a model of lime re-burning in a rotary kiln." @default.
- W2157137927 created "2016-06-24" @default.
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- W2157137927 date "2002-11-27" @default.
- W2157137927 modified "2023-09-26" @default.
- W2157137927 title "Input projection method for safe use of neural networks based on process data" @default.
- W2157137927 cites W2113076747 @default.
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- W2157137927 doi "https://doi.org/10.1109/ijcnn.1998.682261" @default.
- W2157137927 hasPublicationYear "2002" @default.
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