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Titlebook: Artificial Intelligence and Soft Computing; 11th International C Leszek Rutkowski,Marcin Korytkowski,Jacek M. Zurad Conference proceedings

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51#
發(fā)表于 2025-3-30 10:37:11 | 只看該作者
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發(fā)表于 2025-3-30 21:48:38 | 只看該作者
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發(fā)表于 2025-3-31 03:56:39 | 只看該作者
Binary Perceptron Learning Algorithm Using Simplex-Methodthm is sequel to Krauth and Mezard ideas. The algorithm makes it possible to construct networks storage capacity and noise stability of which are comparable to those of Krauth and Mezard algorithm. However suggested modification of the algorithm outperforms.
56#
發(fā)表于 2025-3-31 06:09:11 | 只看該作者
Objects Auto-selection from Stereo-Images Realised by Self-Correcting Neural Networkllows for elimination of textures, occurring in background and also on objects. The object selection process must be preceded by picture’s depth analysis. This can be done by the novel neural structure: Self-Correcting Neural Network. This structure is working point-by-point with no picture’s segmentation before.
57#
發(fā)表于 2025-3-31 12:21:05 | 只看該作者
Spectra of the Spike-Flow Graphs in?Geometrically Embedded Neural Networksing activity-based network develops a scale-free dependency. Moreover it strengthens and becomes valid for a wider segment along with the simulation progress, which implies a highly organised structure of the analysed graph.
58#
發(fā)表于 2025-3-31 16:50:25 | 只看該作者
Conference proceedings 2012ficial Intelligence and Soft Computing, ICAISC 2012, held in Zakopane, Poland in April/May 2012.The 212 revised full papers presented were carefully reviewed and selected from 483 submissions. The papers are organized in topical sections on neural networks and their applications, computer vision, im
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發(fā)表于 2025-3-31 18:12:06 | 只看該作者
60#
發(fā)表于 2025-4-1 01:03:54 | 只看該作者
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