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樓主: PED
41#
發(fā)表于 2025-3-28 16:33:48 | 只看該作者
42#
發(fā)表于 2025-3-28 21:13:28 | 只看該作者
43#
發(fā)表于 2025-3-29 01:21:07 | 只看該作者
44#
發(fā)表于 2025-3-29 04:28:31 | 只看該作者
45#
發(fā)表于 2025-3-29 10:14:45 | 只看該作者
Methoden der Metaphernforschung und -analysedered Weighted Aggregation (OWA) operators are adapted for aggregating the distance functions of these features. The system supports nearest neighbor queries and various types of fuzzy queries; feature-based, image-based and color-based queries. The experimental results show that our system is effective in terms of retrieval efficiency.
46#
發(fā)表于 2025-3-29 14:32:44 | 只看該作者
Schnelle FOURIER-Transformation (FFT),applied for nonlinear Takagi–Sugeno (TS) fuzzy modeling. This incremental clustering procedure that generates clusters that are used to form the fuzzy rule antecedent part in online mode is used as a first stage of the learning process.
47#
發(fā)表于 2025-3-29 19:05:16 | 只看該作者
48#
發(fā)表于 2025-3-29 20:37:45 | 只看該作者
49#
發(fā)表于 2025-3-30 00:20:42 | 只看該作者
An Efficient Image Retrieval System Using Ordered Weighted Aggregationdered Weighted Aggregation (OWA) operators are adapted for aggregating the distance functions of these features. The system supports nearest neighbor queries and various types of fuzzy queries; feature-based, image-based and color-based queries. The experimental results show that our system is effective in terms of retrieval efficiency.
50#
發(fā)表于 2025-3-30 05:49:56 | 只看該作者
An Incremental Clustering Method and Its Application in Online Fuzzy Modelingapplied for nonlinear Takagi–Sugeno (TS) fuzzy modeling. This incremental clustering procedure that generates clusters that are used to form the fuzzy rule antecedent part in online mode is used as a first stage of the learning process.
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