A HYBRID CASCADE OPTIMIZED NEURAL NETWORK
Науковий журнал «Радіоелектроніка, інформатика, управління»
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A HYBRID CASCADE OPTIMIZED NEURAL NETWORK |
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Tyshchenko, O. K.; Control Systems Research Laboratory, Kharkiv National University of Radio Electronics, Ukraine Pliss, I. P.; Control Systems Research Laboratory, Kharkiv National University of Radio Electronics, Ukraine Kopaliani, D. S.; Kharkiv National University of Radio Electronics, Ukraine |
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neural network, optimal learning, computational intelligence, evolving hybrid system |
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A new architecture and learning algorithms for a hybrid cascade optimized neural network is proposed. The proposed hybrid system is different from existing cascade systems in its capability to operate in an online mode, which allows it to work with both non-stationary and stochastic nonlinear chaotic signals with the required accuracy. The proposed hybrid cascade neural network provides computational simplicity and possesses both tracking and filtering capabilities. |
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Zaporizhzhya National Technical University 2014-08-20 00:00:00 |
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application/pdf http://ric.zntu.edu.ua/article/view/27284 |
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Radio Electronics, Computer Science, Control; No 1 (2014): Radio Electronics, Computer Science, Control |
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uk |
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Copyright (c) 2014 O. K. Tyshchenko, I. P. Pliss, D. S. Kopaliani |
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