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- W798907214 abstract "Simulated data are needed to compare traditional segmentation methods with segmentation by neural networks, because only under these circumstances the quality of reproduction between methods is comparable. Therefore conjoint data with differently distributed errors are created by a Monte-Carlo-Simulation. The results of a segmentation by neural networks are compared with those of a segmentation by traditional methods in order to reveal whether the introduced neural networks are capable of a better segmentation at all, respectively for which structure of the starting data the segmentation by neural networks appears to be particularly promising." @default.
- W798907214 created "2016-06-24" @default.
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- W798907214 date "1998-01-01" @default.
- W798907214 modified "2023-09-27" @default.
- W798907214 title "A Comparison of Traditional Segmentation Methods with Segmentation Based upon Artificial Neural Networks by Means of Conjoint Data from a Monte-Carlo-Simulation" @default.
- W798907214 cites W2101927907 @default.
- W798907214 doi "https://doi.org/10.1007/978-3-642-72087-1_41" @default.
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