Titlebook: Advances in Neural Networks – ISNN 2016; 13th International S Long Cheng,Qingshan Liu,Andrey Ronzhin Conference proceedings 2016 Springer I

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Community, Empire and Migrationhe data not only has comprehensive information about the application, but also has irrelevant information and noise which makes it difficult to reveal the patterns. This paper presents our preliminary research in selecting the optimal channels for the study of internet addiction with visual “Oddball

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Keijiro Otsuka,Kaliappa Kalirajantimation of sufficiently large set of acoustic features, construction of multidimensional histograms and approximation arbitrary distributions of the components of acoustic features with probability density functions (PDF), with possibility of wide shape variation. Proposed method allowed to reduce

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Keijiro Otsuka,Kaliappa Kalirajanased on the use of artificial neural networks for constructing special additional series which are necessary in the process of calculating the Lyapunov exponents. The musical compositions have been used as acoustic data. It turned out that the error of the largest Lyapunov exponent computations with

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