易于出错
发表于 2025-3-23 11:06:49
Pyelonephritis und Nierenabszessified) formalism are used to propose two formalism for preferences: . (FMPL) and . (CPMPL). We also justify some metalogical properties of both systems such as their completeness and we discuss a satisfiability problem for them. In result, we propose a short juxtaposition of the properties of the considered systems.
绝种
发表于 2025-3-23 14:29:29
Parasitäre Erkrankungen in der Urologielearning methods for fuzzy rules on applications of Type-2 fuzzy logic systems to control filters reducing air pollution. The filters use Selective Catalytic Reduction (SCR) method and, as for now, this process is controlled manually by a human expert.
现任者
发表于 2025-3-23 19:06:06
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打折
发表于 2025-3-23 22:26:11
Product Multi-kernels for Sensor Data Analysis an evolutionary learning algorithm for setting its parameters. The algorithm is capable to select different kernels from a dictionary and to set their parameters, including optimal split of inputs into individual products. The approach is tested on real-world data from sensor networks area.
可耕种
发表于 2025-3-24 05:58:17
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爱哭
发表于 2025-3-24 08:08:22
Comparative Approach to the Multi-Valued Logic Construction for Preferencesified) formalism are used to propose two formalism for preferences: . (FMPL) and . (CPMPL). We also justify some metalogical properties of both systems such as their completeness and we discuss a satisfiability problem for them. In result, we propose a short juxtaposition of the properties of the considered systems.
恃强凌弱的人
发表于 2025-3-24 11:58:41
Learning Rules for Type-2 Fuzzy Logic System in the Control of DeNOx Filterlearning methods for fuzzy rules on applications of Type-2 fuzzy logic systems to control filters reducing air pollution. The filters use Selective Catalytic Reduction (SCR) method and, as for now, this process is controlled manually by a human expert.
STRIA
发表于 2025-3-24 16:47:23
https://doi.org/10.1007/978-3-662-44463-4o be defined in advance. In the gene-based clustering of the considered data, our approach generates clusters that are easily divisible into subclusters related to particular sample classes. It corresponds, in a way, to subspace clustering that is highly desirable in microarray data analysis.
全国性
发表于 2025-3-24 20:10:36
Facharztwissen Orthopädie Unfallchirurgieto automatically interconnect representing similar or sequential data. This contribution describes generalized formulas for quick analytical computation of the structure and parameters of ANAKG neural graphs for representing and recalling of training sequences of objects.
COMMA
发表于 2025-3-25 03:03:47
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