A hybrid cascade neural network with an optimized pool in each cascade

Verfasser / Beitragende:
[Ye. Bodyanskiy, O. Tyshchenko, D. Kopaliani]
Ort, Verlag, Jahr:
2015
Enthalten in:
Soft Computing, 19/12(2015-12-01), 3445-3454
Format:
Artikel (online)
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024 7 0 |a 10.1007/s00500-014-1344-3  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00500-014-1344-3 
245 0 2 |a A hybrid cascade neural network with an optimized pool in each cascade  |h [Elektronische Daten]  |c [Ye. Bodyanskiy, O. Tyshchenko, D. Kopaliani] 
520 3 |a This paper proposes a new architecture and learning algorithms for a hybrid cascade neural network with pool optimization in each cascade. The proposed system is different from existing cascade systems in its capability to operate in an online mode, which allows it to work with non-stationary and stochastic nonlinear chaotic signals with the required accuracy. Compared to conventional analogs, the proposed system provides computational simplicity and possesses both tracking and filtering capabilities. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a Hybrid system  |2 nationallicence 
690 7 |a Learning method  |2 nationallicence 
690 7 |a Neo-fuzzy neuron  |2 nationallicence 
690 7 |a Cascade network  |2 nationallicence 
700 1 |a Bodyanskiy  |D Ye  |u Control Systems Research Laboratory, Kharkiv National University of Radioelectronics, Lenina av., 14, 61166, Kharkiv, Ukraine  |4 aut 
700 1 |a Tyshchenko  |D O.  |u Control Systems Research Laboratory, Kharkiv National University of Radioelectronics, Lenina av., 14, 61166, Kharkiv, Ukraine  |4 aut 
700 1 |a Kopaliani  |D D.  |u Control Systems Research Laboratory, Kharkiv National University of Radioelectronics, Lenina av., 14, 61166, Kharkiv, Ukraine  |4 aut 
773 0 |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/12(2015-12-01), 3445-3454  |x 1432-7643  |q 19:12<3445  |1 2015  |2 19  |o 500 
856 4 0 |u https://doi.org/10.1007/s00500-014-1344-3  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00500-014-1344-3  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Bodyanskiy  |D Ye  |u Control Systems Research Laboratory, Kharkiv National University of Radioelectronics, Lenina av., 14, 61166, Kharkiv, Ukraine  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Tyshchenko  |D O.  |u Control Systems Research Laboratory, Kharkiv National University of Radioelectronics, Lenina av., 14, 61166, Kharkiv, Ukraine  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Kopaliani  |D D.  |u Control Systems Research Laboratory, Kharkiv National University of Radioelectronics, Lenina av., 14, 61166, Kharkiv, Ukraine  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/12(2015-12-01), 3445-3454  |x 1432-7643  |q 19:12<3445  |1 2015  |2 19  |o 500