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Titlebook: Advances in Neural Networks-- ISNN 2010; 7th International Sy Liqing Zhang,Bao-Liang Lu,James Kwok Conference proceedings 2010 Springer-Ver

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發(fā)表于 2025-3-21 16:47:24 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Neural Networks-- ISNN 2010
期刊簡稱7th International Sy
影響因子2023Liqing Zhang,Bao-Liang Lu,James Kwok
視頻videohttp://file.papertrans.cn/150/149146/149146.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advances in Neural Networks-- ISNN 2010; 7th International Sy Liqing Zhang,Bao-Liang Lu,James Kwok Conference proceedings 2010 Springer-Ver
影響因子This book and its sister volume collect refereed papers presented at the 7th Inter- tional Symposium on Neural Networks (ISNN 2010), held in Shanghai, China, June 6-9, 2010. Building on the success of the previous six successive ISNN symposiums, ISNN has become a well-established series of popular and high-quality conferences on neural computation and its applications. ISNN aims at providing a platform for scientists, researchers, engineers, as well as students to gather together to present and discuss the latest progresses in neural networks, and applications in diverse areas. Nowadays, the field of neural networks has been fostered far beyond the traditional artificial neural networks. This year, ISNN 2010 received 591 submissions from more than 40 countries and regions. Based on rigorous reviews, 170 papers were selected for publication in the proceedings. The papers collected in the proceedings cover a broad spectrum of fields, ranging from neurophysiological experiments, neural modeling to extensions and applications of neural networks. We have organized the papers into two volumes based on their topics. The first volume, entitled “Advances in Neural Networks- ISNN 2010, Part
Pindex Conference proceedings 2010
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Communism and Nationalism in Cyprus,the current perception threshold requires the prediction to be qualified with confidence. Using confidence support vector machine, the current perception threshold measurement via single channel electroencephalogram is confident and credible. Experimental results demonstrate the proposed algorithm is effective.
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Modern and Contemporary Poetry and PoeticsElectroantennogram and spiking trains were obtained from honeybees’ antennae for detection using an apparatus described in this paper. Different odor stimuli were applied on the antennae and got different EAG responses. The spikes of neurons were observed with this system too.
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https://doi.org/10.1007/978-1-4757-0492-1tigates the effect of noise on speeding up neural computation. We consider a computational task in which a neuronal network tracks a time-varying stimulus. Two network models with varying recurrent structures are explored, namely, neurons have weak sparse connections and have strong balanced interac
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