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- W2647632238 abstract "Abstract This paper addresses the question of whether neural networks are applicable as operator models in man-machine-systems. For this analysis a two lane car driving task is used as an experimental paradigm. Various network architectures are tested. In particular a combination of functional link and backpropagation is proposed as a novel, rapidly trainable structure. It is shown experimentally, that individual human driving characteristics are indeed identifiable from the input/output relations of the trained networks. Neural nets are therefore candidates for operator models. The applicability of such models as an information source for driver assistant systems is demonstrated." @default.
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- W2647632238 date "1992-06-01" @default.
- W2647632238 modified "2023-09-26" @default.
- W2647632238 title "Identification and Application of Neural Operator Models in a Car Driving Situation" @default.
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- W2647632238 doi "https://doi.org/10.1016/s1474-6670(17)50180-9" @default.
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