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Titlebook: Advances in Neural Networks – ISNN 2019; 16th International S Huchuan Lu,Huajin Tang,Zhanshan Wang Conference proceedings 2019 Springer Nat

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樓主: adulation
51#
發(fā)表于 2025-3-30 08:13:47 | 只看該作者
52#
發(fā)表于 2025-3-30 16:14:25 | 只看該作者
https://doi.org/10.1007/978-3-031-05137-1d a new perspective understand the dynamics of nonlinear time series. In this paper, we proposed a new epileptic seizure detection method based on statistical properties of improved transition network. First, we improved the transition network and electroencephalogram (EEG) signal was constructed in
53#
發(fā)表于 2025-3-30 18:50:59 | 只看該作者
Social Interventions and Justice, smart materials, and energy-storage materials. For describing the characteristic of hysteresis, a basis function based neural network model is proposed in this paper. In this method, the multi-valued mapping of hysteresis is transferred into a one-to-one mapping with an expanded input space involvi
54#
發(fā)表于 2025-3-30 22:54:22 | 只看該作者
0302-9743 sing, Industrial Application, and Data Generation; Image Recognition, Scene Understanding, and Video Analysis; Bio-signal, Biomedical Engineering, and Hardware...?.978-3-030-22807-1978-3-030-22808-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
55#
發(fā)表于 2025-3-31 03:13:49 | 只看該作者
56#
發(fā)表于 2025-3-31 07:56:55 | 只看該作者
0302-9743 2019, held in Moscow, Russia, in July 2019..The 111 papers presented in the two volumes were carefully reviewed and selected from numerous submissions. The papers were organized in topical sections named: Learning System, Graph Model, and Adversarial Learning; Time Series Analysis, Dynamic Predictio
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發(fā)表于 2025-3-31 11:51:12 | 只看該作者
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發(fā)表于 2025-3-31 16:21:42 | 只看該作者
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