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Titlebook: Developments in Soft Computing; Robert John,Ralph Birkenhead Conference proceedings 2001 Springer-Verlag Berlin Heidelberg 2001 Artificial

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樓主: Clinical-Trial
41#
發(fā)表于 2025-3-28 17:03:49 | 只看該作者
42#
發(fā)表于 2025-3-28 19:44:49 | 只看該作者
43#
發(fā)表于 2025-3-29 00:13:12 | 只看該作者
44#
發(fā)表于 2025-3-29 04:03:03 | 只看該作者
45#
發(fā)表于 2025-3-29 10:49:56 | 只看該作者
Handbook of Manufacturing Controlble of indicating the amount of roughness present in the elements and thus she describes how fuzzy membership can be used as as a measure of roughness. The relationships between the different types of indices of fuzziness and the roughness measures are established. It is also observed that nearest o
46#
發(fā)表于 2025-3-29 14:56:49 | 只看該作者
https://doi.org/10.1007/978-1-4471-4670-4 than other linear or non-linear systems, requiring only small, appropriately timed perturbations to constrain them within specific Unstable Periodic Orbits (UPOs). Another is that chaotic attractors contain an infinite number of these UPOs. If individual UPOs can be made to represent specific inter
47#
發(fā)表于 2025-3-29 18:02:00 | 只看該作者
48#
發(fā)表于 2025-3-29 20:07:02 | 只看該作者
Xiao Hu,Erwin Merijn Wouterson,Ming Liuextension allows the specification of fuzzy symptoms by using fuzzy relations to determine a symptom’s strength based on observed intensity and certainty of duration. We begin by briefly considering the context of use of the process and then go on to formally describe the fuzzy approach and the algo
49#
發(fā)表于 2025-3-30 00:10:21 | 只看該作者
Handbook of Marine Natural Productshabitual Web surfing. Some first experimental results on evolving user profiles using speciating hybrid GAs, the reasoning behind them and support for their potential application in mobile, wireless and location aware information devices are also presented.
50#
發(fā)表于 2025-3-30 04:59:34 | 只看該作者
The Chemistry of Marine Tunicates and interpretability are of major importance and effort is made to keep the resulting rule bases small and comprehensible. An iterative approach for developing fuzzy classifiers is proposed. The initial model is derived from the data and subsequently, feature selection and rule base simplification
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