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Titlebook: Artificial Neural Networks in Pattern Recognition; 4th IAPR TC3 Worksho Friedhelm Schwenker,Neamat Gayar Conference proceedings 2010 Spring

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51#
發(fā)表于 2025-3-30 10:53:27 | 只看該作者
52#
發(fā)表于 2025-3-30 13:20:20 | 只看該作者
53#
發(fā)表于 2025-3-30 17:38:13 | 只看該作者
Friedhelm Schwenker,Neamat GayarFast track conference proceeding.Unique visibility.State of the art research
54#
發(fā)表于 2025-3-30 23:46:35 | 只看該作者
55#
發(fā)表于 2025-3-31 01:23:43 | 只看該作者
56#
發(fā)表于 2025-3-31 05:51:40 | 只看該作者
Cluster Analysis of Cortical Pyramidal Neurons Using SOMA cluster analysis using SOM has been performed on morphological data derived from pyramidal neurons of the somatosensory cortex of normal and transgenic mice.
57#
發(fā)表于 2025-3-31 11:53:41 | 只看該作者
58#
發(fā)表于 2025-3-31 16:14:36 | 只看該作者
59#
發(fā)表于 2025-3-31 20:59:48 | 只看該作者
SIC-Means: A Semi-fuzzy Approach for Clustering Data Streams Using C-Meansng results to the allowed fuzziness level and the size of data history used. This study has shown that different datasets behave differently with changing these factors. Dataset behavior is correlated with the separation between clusters of the dataset.
60#
發(fā)表于 2025-4-1 00:31:30 | 只看該作者
https://doi.org/10.1007/978-3-662-25786-9osen value of . for a given testing sample is influenced by the . values of its surrounding training samples as well as the most successful . value of all training samples. Comparison with a number of well-known classification methods proved the potential of the proposed method.
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