A hybrid cascade neural network with an optimized pool in each cascade
Gespeichert in:
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)
Online Zugang:
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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 |
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| 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 | ||