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

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aggressor

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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Enrage

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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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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