Digital Library of Zielona Góra contains 65 391 digital objects
Object
Title: A neural network approach to genome sequence alignment
Współtwórca:
Tadeusiewicz, Ryszard - red. ; Korbicz, Józef (1951- ) - red. ; Rutkowski, Leszek - red.
Podtytuł:
Neural Networks: Theory and Some Applications
Tytuł publikacji grupowej:
Abstract:
A technique for the alignment of genome sequences based on an adaptive nonlinear dynamic neural network is proposed. We present an extension to the fixed weight Hopfield neural network, creating a non-linear dynamic neural network, with weights values adaptively changing during neural processing. ; The weights of the proposed neural network are not fixed during the processing, but are continuously updated to achieve the minimal alignment according to the minimal sequence distance criterion. The binary coding of the alignment process has been adopted from the original work of Sellers (1979) to adaptive dynamic neural processing. The behaviour of the proposed neural network is modelled by computer simulation and the corresponding results are discussed.
Wydawca:
Zielona Góra: Uniwersytet Zielonogórski
Identyfikator zasobu:
Strony:
Źródło:
AMCS, volume 4, number 3 (1994) ; click here to follow the link
Jezyk:
Licencja CC BY 4.0:
Prawa do dysponowania publikacją:
Biblioteka Uniwersytetu Zielonogórskiego
Object collections:
- Digital Library of Zielona Góra > Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Digital Library of Zielona Góra > Repository > Types of work > Articles
- Digital Library of Zielona Góra > Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (1994)
Last modified:
14 lip 2025
In our library since:
28 lip 2020
Number of object content hits:
123
All available object's versions:
https://zbc.uz.zgora.pl/publication/63935
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Show description in OAI-PMH format:
| Edition name | Date |
|---|---|
| A neural network approach to genome sequence alignment | 14 lip 2025 |
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