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Titlebook: Adaptive and Natural Computing Algorithms; 10th International C Andrej Dobnikar,Uroš Lotrič,Branko Šter Conference proceedings 2011 Springe

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Stephan Zschocke,E.-J. Speckmannware implementation. These features makes it a good choice for different control applications, like the one presented in this paper. The problem is to navigate a mobile robot (e.g a car) from an initial state to a fixed goal state. The approach applied is backpropagation through time (BPTT). Besides
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Stephan Zschocke,E.-J. Speckmannrm of the model the prediction can be described by analytical formulas and the proposed algorithm is numerically efficient. It is shown that thanks to a clever tuning of the controller most of calculations needed to derive the control value can be performed off–line. Thus, the proposed algorithm has
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https://doi.org/10.1007/978-3-031-30324-1atures influence the model and can be used with any type of regression model in a uniform way. We used different types of models and data sets to demonstrate that the method is a useful tool for explaining, comparing, and identifying errors in regression models.
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