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Titlebook: Computational Intelligence; International Joint Juan Julian Merelo,Fernando Melício,Joaquim Filipe Conference proceedings 2019 Springer Na

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https://doi.org/10.1007/978-3-031-57927-1s velocity during an interaction is optimized and a combination with fuzzy expert rules is used for a safe obstacle avoidance. For a prediction of human intentions to move to certain goals pedestrian tracks are modeled by fuzzy clustering, and trajectories of human and robot agents are extrapolated
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Lecture Notes in Physics Monographso other researchers’ over the same corpus, although they utilize different Machine Learning (ML) methods and a number of attributes several orders of magnitude greater. The system was further tested with different datasets, characterized by heterogeneous origins, dates, users and types, including sa
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https://doi.org/10.1007/978-3-642-45767-8rsions. In the experimental part of the research, graphs of recorded expected running time (ERT) values are compared to graphs of upper bound of . from the deterministic model as well as graphs of recorded convergence times of the particle location . from the stochastic model.
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Supply Chain Resilience Under Ripple Effectoblem in two-dimensional automata. Some of the results will be presented which indicate that an exact behaviour can be automatically designed even for cellular automata working with more than ten cell states. A discussion for both case studies is included and potential areas of further research are highlighted.
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Lecture Notes in Physics Monographscluster centers on high dimensional data with noise and outliers. We analyze the performance of clustering algorithms for different initializations of cluster centers: the original means of clusters and random data points in the data space.
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Lecture Notes in Physics Monographsts further and introduce a new noise compensation mechanism to our model that normalizes the output activity of simulated grid cells irrespective of whether or not input noise is present. We present results from an extended series of simulation runs to characterize the involved parameters.
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