Tadeusiewicz, Ryszard - red. ; Rutkowski, Leszek - red. ; Korbicz, Józef (1951- ) - red.
Neural Networks: Theory and Some Applications
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.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 4, number 3 (1994) ; click here to follow the link
Biblioteka Uniwersytetu Zielonogórskiego
Nov 5, 2024
Jul 28, 2020
61
https://zbc.uz.zgora.pl/repozytorium/publication/63935
Edition name | Date |
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A neural network approach to genome sequence alignment | Nov 5, 2024 |
Beliczyński, Bartłomiej - red.
Krasoń, Ewa Kaczorek, Tadeusz - ed.
Trzaska, Zdzisław W. Kaczorek, Tadeusz - ed.
Xu, Li Saito, Osami Abe, Kenichi Kaczorek, Tadeusz - ed.
Young, K. David Yu, Xinghuo - red.
Xu, Jian-Xin Song, Yanbin Yu, Xinghuo - red.
Stotsky, Alexander A. Hedrick, J. Karl Yip, P.P. Yu, Xinghuo - red.
Hara, Masaaki Furuta, Katsuhisa Pan, Yaodong Hoshino, Tasuku Yu, Xinghuo - red.