Zobrazeno 1 - 10
of 41
pro vyhledávání: '"scale conjugate gradient"'
Publikováno v:
AIMS Mathematics, Vol 8, Iss 9, Pp 21106-21122 (2023)
The purpose of this work is to provide a stochastic framework based on the scale conjugate gradient neural networks (SCJGNNs) for solving the malaria disease model of pesticides and medication (MDMPM). The host and vector populations are divided in t
Externí odkaz:
https://doaj.org/article/c55ba651c3044a148d28ce6c9d82d4d0
Artificial intelligent investigations for the dynamics of the bone transformation mathematical model
Autor:
Watcharaporn Cholamjiak, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Manuel Sánchez-Chero, Dulio Oseda Gago, José Antonio Sánchez-Chero, María-Verónica Seminario-Morales, Marco Antonio Oseda Gago, Cesar Augusto Agurto Cherre, Gilder Cieza Altamirano, Mohamed R. Ali
Publikováno v:
Informatics in Medicine Unlocked, Vol 34, Iss , Pp 101105- (2022)
In this study, the stochastic numerical solutions of the fractional myeloma bone disease system (FMBDS) have been presented. The fractional order investigation provides more accurate solutions of the FMBDS. The FMBDS is classified into three dynamics
Externí odkaz:
https://doaj.org/article/aa36d8333f22496eb85c8835bdcd40c6
Publikováno v:
Mathematics, Vol 11, Iss 4, p 975 (2023)
The motive of this study is to provide the numerical performances of the monkeypox transmission system (MTS) by applying the novel stochastic procedure based on the radial basis scale conjugate gradient deep neural network (RB-SCGDNN). Twelve and twe
Externí odkaz:
https://doaj.org/article/dedd9c63fda44980bfa1ea1323c2a7fb
Publikováno v:
Financial Innovation, Vol 5, Iss 1, Pp 1-12 (2019)
Abstract Introduction Nowadays, the most significant challenges in the stock market is to predict the stock prices. The stock price data represents a financial time series data which becomes more difficult to predict due to its characteristics and dy
Externí odkaz:
https://doaj.org/article/6322191d7abe406c9f9c801f78d433da
Akademický článek
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Publikováno v:
Sensors; Volume 23; Issue 2; Pages: 1020
The gas sweetening process removes hydrogen sulfide (H2S) in an acid gas removal unit (AGRU) to meet the gas sales’ specification, known as sweet gas. Monitoring the concentration of H2S in sweet gas is crucial to avoid operational and environmenta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ce4e3f2f0fca25452ca83efc98b8c0f
Publikováno v:
Cogent Engineering, Vol 5, Iss 1 (2018)
In this paper, an optimal model is developed for path loss predictions using the Feed-Forward Neural Network (FFNN) algorithm. Drive test measurements were carried out in Canaanland Ota, Nigeria and Ilorin, Nigeria to obtain path loss data at varying
Externí odkaz:
https://doaj.org/article/877d31090e774e3e8ad0feae99494b33
Water quality prediction is aided by environmental monitoring, ecological sustainability, and aquaculture. Traditional prediction approaches capture the nonlinearity and non-stationarity of water quality well. Due to their rapid progress, artificial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d4e5867be92adee67861351709b929c
https://zenodo.org/record/7151815
https://zenodo.org/record/7151815
Akademický článek
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Akademický článek
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