Titlebook: 10th International Conference on Soft Computing Models in Industrial and Environmental Applications; álvaro Herrero,Javier Sedano,Emilio C

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https://doi.org/10.1007/BFb0064579rding to the obtained results, some generalized feasible solutions are discussed. Results show a very interesting researching area that might be easily transferred to embedded devices and online health care systems.

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https://doi.org/10.1007/BFb0064579work is to adapt the previous learning scheme to a Cooperative Coevolutionary Genetic Fuzzy Finite State Machine to improve the classification results. The obtained results show that a Cooperative proposal outperform moderately the results of the original proposal.

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Wreath products and representations,ubsequently, the application of such models generates meaningful conclusions that allow experts to diagnose KM from two different points of view: companies on the one hand and industrial sectors on the other hand.

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A Comparison of Clustering Techniques for Meteorological Analysis978-3-322-82948-1

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