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Titlebook: Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation; 28th International C Igor V. Tetko,Věra K?rko

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樓主: Pierce
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發(fā)表于 2025-3-25 04:00:42 | 只看該作者
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發(fā)表于 2025-3-25 14:42:48 | 只看該作者
Takeshi Kanashima,Masanori Okuyamaon the conventional chaotic complex-valued associative memory with adaptive scaling factor that can realize dynamic associations of multi-valued patterns. In the conventional chaotic complex-valued associative memory with adaptive scaling factor, parameters of the chaotic complex-valued neuron model
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發(fā)表于 2025-3-26 04:29:11 | 只看該作者
Norifumi Fujimura,Takeshi Yoshimuramorphic computers aim to provide such a substrate that reproduces the brain’s capabilities in terms of adaptive, low-power information processing. We present results from a prototype chip of the BrainScaleS-2 mixed-signal neuromorphic system that adopts a physical-model approach with a 1000-fold acc
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發(fā)表于 2025-3-26 15:06:04 | 只看該作者
Takeshi Kanashima,Masanori Okuyamays a decisive role because of its remarkable flexibility and performance. Recently, a new architecture called Capsule Network (CapsNet) was proposed to improve CNN. Capsule Network is able to preserve more input’s information, especially location information by it’s unique capsule structure and dyna
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發(fā)表于 2025-3-26 20:03:49 | 只看該作者
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