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Titlebook: Recent Advances of Neural Network Models and Applications; Proceedings of the 2 Simone Bassis,Anna Esposito,Francesco Carlo Morabi Conferen

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41#
發(fā)表于 2025-3-28 16:49:08 | 只看該作者
42#
發(fā)表于 2025-3-28 22:25:11 | 只看該作者
Antonietta M. Esposito,Luca D’Auria,Andrea Angelillo,Flora Giudicepietro,Marcello Martiniies, alongside their empires, and neutral countries. The book’s approach crosses traditional boundaries between neutral and belligerent nations, centres and peripheries, and frontline and rear areas. It focuses978-3-030-26104-7978-3-030-26102-3Series ISSN 2730-9630 Series E-ISSN 2730-9649
43#
發(fā)表于 2025-3-29 01:30:36 | 只看該作者
Stefano Chessa,Claudio Gallicchio,Roberto Guzman,Alessio Micheliies, alongside their empires, and neutral countries. The book’s approach crosses traditional boundaries between neutral and belligerent nations, centres and peripheries, and frontline and rear areas. It focuses978-3-030-26104-7978-3-030-26102-3Series ISSN 2730-9630 Series E-ISSN 2730-9649
44#
發(fā)表于 2025-3-29 04:30:29 | 只看該作者
Simone Bassis,Anna Esposito,Francesco Carlo MorabiRecent research on Neural Networks Models and Applications.Proceedings of the 23rd Workshop of the Italian Neural Networks Society (SIREN) held at May 23-25 in Vietri sul Mare, Salerno, Italy.Written
45#
發(fā)表于 2025-3-29 08:29:14 | 只看該作者
Smart Innovation, Systems and Technologieshttp://image.papertrans.cn/r/image/823065.jpg
46#
發(fā)表于 2025-3-29 12:12:27 | 只看該作者
47#
發(fā)表于 2025-3-29 16:42:28 | 只看該作者
978-3-319-37520-5Springer International Publishing Switzerland 2014
48#
發(fā)表于 2025-3-29 20:40:41 | 只看該作者
49#
發(fā)表于 2025-3-30 02:59:21 | 只看該作者
Proportionate Algorithms for Blind Source Separationonate adaptive algorithms. These algorithms, known in the context of adaptive filtering, are able to use the sparseness of acoustic impulse responses of mixing environments and give better performances than standard algorithms. Some preliminary experimental results show the effectiveness of the proposed approach in terms of convergence speed.
50#
發(fā)表于 2025-3-30 06:44:14 | 只看該作者
Effects of Pruning on Phase-Coding and Storage Capacity of a Spiking Networkction of pruning degree. After a Spike Timing Dependent Plasticity-based learning of synaptic efficacies, the weak synapses are removed through a competitive pruning process. Surprisingly, after this pruning stage, the storage capacity for spatiotemporal patterns is relatively high also for very high diluition ratio.
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