Zobrazeno 1 - 10
of 399
pro vyhledávání: '"Polynomial neural network"'
Autor:
Danyal Khan, Abdullah Alshahrani, Abrar Almjally, Naif Al Mudawi, Asaad Algarni, Khaled Alnowaiser, Ahmad Jalal
Publikováno v:
IEEE Access, Vol 12, Pp 94337-94353 (2024)
Advancements in smartphone sensor technologies have significantly enriched the field of human activity recognition, facilitating a wide array of applications from health monitoring to personal navigation. This study utilized such advancements to expl
Externí odkaz:
https://doaj.org/article/a4201196a0584d509d8b9aaf3e11d4cb
Publikováno v:
Artificial Intelligence Chemistry, Vol 1, Iss 2, Pp 100019- (2023)
The interaction between CO2 and N2, both as essential components of the Earth’s atmosphere, plays a crucial role in investigating the greenhouse effect. In this work, we sampled 40,930 data points within the full-dimensional configuration space of
Externí odkaz:
https://doaj.org/article/5dfde7887b6044d4844170a3ef891a33
Publikováno v:
Alexandria Engineering Journal, Vol 67, Iss , Pp 93-103 (2023)
In this paper, the Lagrange multiplier is presented to train the Ridge Polynomial neural network, for improving the convergence rate and avoiding the ill-conditioned problem (penalty factor must go to infinity). In the process of training this networ
Externí odkaz:
https://doaj.org/article/97f67aa87f7d4cc295fb7336ada54c7d
Publikováno v:
IEEE Access, Vol 11, Pp 130426-130438 (2023)
Due to the limitations of traditional time series models in handling semantic values and small-scale data, the concept of fuzzy time series forecasting has been introduced in academia. This model performs exceptionally well on fuzzy datasets, prompti
Externí odkaz:
https://doaj.org/article/84df71a7ed564c6ca24b151b1d257ac4
Autor:
Sima Aramesh, Pouyan Fakharian
Publikováno v:
پژوهشهای زیرساختهای عمرانی, Vol 8, Iss 1, Pp 171-183 (2022)
Modulus of elasticity has played an essential role in the analysis and design of reinforced concrete structures and is a fundamental property required to calculate the lateral deformation of structures. This study proposes new models for predicting t
Externí odkaz:
https://doaj.org/article/ac8c7346353841e089d5344bf00d7a92
Publikováno v:
IEEE Access, Vol 10, Pp 121602-121614 (2022)
A droop controlled microgrid with distribution static compensator (DSTATCOM) is developed to improve the power quality in this study. Due to the reactive power/voltage Q-V droop characteristic and the existence of the unbalanced, linear inductive and
Externí odkaz:
https://doaj.org/article/dd3f3c1e6cbb4c728283ca209024082e
Akademický článek
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Autor:
Marko T. Milojkovic, Andjela D. Djordjevic, Stanisa Lj. Peric, Miroslav B. Milovanovic, Zoran H. Peric, Nikola B. Dankovic
Publikováno v:
Elektronika ir Elektrotechnika, Vol 27, Iss 2, Pp 4-10 (2021)
This paper considers a new design of model predictive control based on specific models in the form of adaptive orthogonal polynomial networks, built around a specially tailored basis of generalized orthogonal functions. Polynomial model has a single
Externí odkaz:
https://doaj.org/article/069399c1e4984345a8b2a8973741c8af
Convergence of a Gradient-Based Learning Algorithm With Penalty for Ridge Polynomial Neural Networks
Publikováno v:
IEEE Access, Vol 9, Pp 28742-28752 (2021)
Recently there have been renewed interests in high order neural networks (HONNs) for its powerful mapping capability. Ridge polynomial neural network (RPNN) is an important kind of HONNs, which always occupies a key position as an efficient instrumen
Externí odkaz:
https://doaj.org/article/d08d8abfe023489e97d4503a1561247b
Publikováno v:
IEEE Access, Vol 8, Pp 123556-123570 (2020)
In forensic biometrics old x-ray images are often used for identification and verification. The number of homicide cases has increased manyfold along with population growth. Forensic odontology is a less expensive method to solve these cases. In fore
Externí odkaz:
https://doaj.org/article/bcf4ae6775064fd5b763f76090ccd4a4