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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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Advances in Neural Networks – ISNN 2016978-3-319-40663-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
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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 the probability of errors in the decision making.
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Pablo D. Becker,Carlos A. Guzmán Lyapunov stability theory, some sufficient conditions for synchronization of coupled neural networks are derived. The coupling configuration matrix is not necessary to be symmetric or irreducible, and the inner coupling matrix need not be symmetric. Finally, numerical examples are presented to demonstrate the effectiveness of the designed method.
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https://doi.org/10.1007/978-3-319-40663-3genetic algorithm; global optimization; machine learning; pattern recognition; simulation; dynamical beha
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/149169.jpg
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