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Titlebook: Advances in Neural Networks - ISNN 2009; 6th International Sy Wen Yu,Haibo He,Nian Zhang Conference proceedings 2009 Springer-Verlag Berlin

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期刊全稱Advances in Neural Networks - ISNN 2009
期刊簡稱6th International Sy
影響因子2023Wen Yu,Haibo He,Nian Zhang
視頻videohttp://file.papertrans.cn/150/149158/149158.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advances in Neural Networks - ISNN 2009; 6th International Sy Wen Yu,Haibo He,Nian Zhang Conference proceedings 2009 Springer-Verlag Berlin
影響因子This book and its companion volumes, LNCS vols. 5551, 5552 and 5553, constitute the proceedings of the 6th International Symposium on Neural Networks (ISNN 2009), held during May 26–29, 2009 in Wuhan, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural n- works and related fields, with a successful sequence of ISNN symposia held in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), and Beijing (2008). Following the tradition of the ISNN series, ISNN 2009 provided a high-level inter- tional forum for scientists, engineers, and educators to present state-of-the-art research in neural networks and related fields, and also to discuss with international colleagues on the major opportunities and challenges for future neural network research. Over the past decades, the neural network community has witnessed tremendous - forts and developments in all aspects of neural network research, including theoretical foundations, architectures and network organizations, modeling and simulation, - pirical study, as well as a wide range of applications across different domains. The recent developments of science and technolog
Pindex Conference proceedings 2009
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https://doi.org/10.1007/978-3-642-01507-6algorithm; algorithms; artificial intelligence; classification; communication; fuzzy; fuzzy system; genetic
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978-3-642-01506-9Springer-Verlag Berlin Heidelberg 2009
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/149158.jpg
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Nursing Times Open Learning Textsl network is developed to retrieve open boundary values. All training data are calculated by numerical tidal model, so the tidal physics are not disturbed. The basic idea is to find out the relationship between open boundary values and the values of interior tidal stations. Case testes are carried o
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Rita Bell,Kath Johnson,Heather Scottd to obtain the EEG’s rhythms based on the multi-resolution decomposition of wavelet transformation. Four specified rhythms can be decomposed from EEG signal in terms of wavelet packet analysis. A novel method for time-varying brain electrical activity mapping (BEAM) is also proposed using the time-
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https://doi.org/10.1007/978-1-349-13906-4puts based on non-linear functional composition. They have the advantages of self-learning, self-organizing, and self-adapting. It is practical to use ANN technology to carry out hydrologic calculations. To this end, this note has fundamentally set up a system of calculation and analysis based on AN
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