Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Farid Mohammad Maalek Ghaini"'
Publikováno v:
International Journal of Dynamical Systems and Differential Equations. 12:106
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42af6a4eb7bcc01a7150ac06f41883c1
https://doi.org/10.1504/ijdsde.2022.10046866
https://doi.org/10.1504/ijdsde.2022.10046866
Publikováno v:
Expert Systems with Applications. 182:115229
In this paper, we introduce a multi-factor wavelet-based deep recurrent neural network (Multi-WRNN) model for more accurate pricing of the crude oil future market. This model is capable of including several key factors (e.g. stock-change and refinery
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5dc0679c41c713a45588be83b583c485
https://doi.org/10.1016/j.eswa.2021.115229
https://doi.org/10.1016/j.eswa.2021.115229
Publikováno v:
International Journal of Computer Mathematics. 93:1347-1357
The purpose of this paper is to investigate the discrete collocation method based on moving least squares MLS approximation for Fredholm–Hammerstein integral equations. The scheme utilizes the shape functions of the MLS approximation constructed on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa190f748a840f34552343b04a80ad2d
https://doi.org/10.1080/00207160.2015.1046846
https://doi.org/10.1080/00207160.2015.1046846
Publikováno v:
Volume: 41, Issue: 4 808-824
Turkish Journal of Mathematics
Turkish Journal of Mathematics
We consider a general class of nonlinear constrained optimization problems, where derivatives of the objective function and constraints are unavailable. This property of problems can often impede the performance of optimization algorithms. Most algor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::085dd08b0dbd1cfcc0a3d7914f16a037
https://dergipark.org.tr/tr/pub/tbtkmath/issue/35838/401688
https://dergipark.org.tr/tr/pub/tbtkmath/issue/35838/401688
Publikováno v:
Expert Systems with Applications. 138:112842
This paper presents a recurrent neural network (RNN) which is improved by using an efficient discrete wavelet transform (DWT) for predicting a high-frequency time series. In the combined DWT-RNN model, first, a multiresolution based on B-spline wavel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d30f827f55510844fca835abeab5bba
https://doi.org/10.1016/j.eswa.2019.112842
https://doi.org/10.1016/j.eswa.2019.112842
Publikováno v:
ANZIAM Journal. 51
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b68488b02692fa29e8755538da1aee8c
https://doi.org/10.21914/anziamj.v51i0.398
https://doi.org/10.21914/anziamj.v51i0.398