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Titlebook: Advances in Neural Networks; 5th International Sy Fuchun Sun,Jianwei Zhang,Wen Yu Conference proceedings 2008 Springer-Verlag Berlin Heidel

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發(fā)表于 2025-3-21 17:38:15 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Neural Networks
期刊簡稱5th International Sy
影響因子2023Fuchun Sun,Jianwei Zhang,Wen Yu
視頻videohttp://file.papertrans.cn/150/149145/149145.mp4
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advances in Neural Networks; 5th International Sy Fuchun Sun,Jianwei Zhang,Wen Yu Conference proceedings 2008 Springer-Verlag Berlin Heidel
影響因子The two volume set LNCS 5263/5264 constitutes the refereed proceedings of the 5th International Symposium on Neural Networks, ISNN 2008, held in Beijing, China in September 2008. The 192 revised papers presented were carefully reviewed and selected from a total of 522 submissions. The papers are organized in topical sections on computational neuroscience; cognitive science; mathematical modeling of neural systems; stability and nonlinear analysis; feedforward and fuzzy neural networks; probabilistic methods; supervised learning; unsupervised learning; support vector machine and kernel methods; hybrid optimisation algorithms; machine learning and data mining; intelligent control and robotics; pattern recognition; audio image processinc and computer vision; fault diagnosis; applications and implementations; applications of neural networks in electronic engineering; cellular neural networks and advanced control with neural networks; nature inspiredmethods of high-dimensional discrete data analysis; pattern recognition and information processing using neural networks.
Pindex Conference proceedings 2008
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書目名稱Advances in Neural Networks影響因子(影響力)




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Conference proceedings 2008omputer vision; fault diagnosis; applications and implementations; applications of neural networks in electronic engineering; cellular neural networks and advanced control with neural networks; nature inspiredmethods of high-dimensional discrete data analysis; pattern recognition and information processing using neural networks.
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https://doi.org/10.1007/978-981-4585-84-2 for neural pictures and unpleasant pictures elicited more positive P300 and slow wave effects than pleasant pictures. The results indicated the effectiveness of the wavelet transform-based approach in ERP single-trial extraction and further supported the view that emotional stimuli are processed more intensely.
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Andreas Hepp,Piet Simon,Monika Sowinska task relevance. As P1 and N1 amplitudes are decreased in the Complex Task comparing with the Simple Task, we can suggest that the P1/N1 components elicited by emotional stimuli are modulated by task relevance, too.
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Assessment of Voice and Resonance MENN. This framework allows input variables selection, over-layer connections for the various nodes involved. The performance and effectiveness of the proposed method are evaluated using stock market forecasting problems and compared with the related methods.
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