Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ayaz Hussain Bukhari"'
Autor:
Ayaz Hussain Bukhari, Muhammad Sulaiman, Muhammad Asif Zahoor Raja, Saeed Islam, Muhammad Shoaib, Poom Kumam
Publikováno v:
Alexandria Engineering Journal, Vol 59, Iss 5, Pp 3325-3345 (2020)
Robust modeling of a multimodal dynamic system is a challenging and fast-growing area of research. In this study, an integrated bi-modal computing paradigm based on Nonlinear Autoregressive Radial Basis Functions (NAR-RBFs) neural network model, a ne
Externí odkaz:
https://doaj.org/article/83f3b2d3ff924e7c88dd2eb0e3cb8890
Autor:
Ayaz Hussain Bukhari, Muhammad Sulaiman, Saeed Islam, Muhammad Shoaib, Poom Kumam, Muhammad Asif Zahoor Raja
Publikováno v:
Alexandria Engineering Journal, Vol 59, Iss 1, Pp 101-116 (2020)
Research community has a growing interest in neural networks because of their practical applications in many fields for accurate modeling and prediction of the complex behavior of systems arising from engineering, economics, business, financial and m
Externí odkaz:
https://doaj.org/article/f7cf3edf44814bb7959cfc25156c100d
Autor:
Ayaz Hussain Bukhari, Muhammad Asif Zahoor Raja, Muhammad Sulaiman, Saeed Islam, Muhammad Shoaib, Poom Kumam
Publikováno v:
IEEE Access, Vol 8, Pp 71326-71338 (2020)
Forecasting of fast fluctuated and high-frequency financial data is always a challenging problem in the field of economics and modelling. In this study, a novel hybrid model with the strength of fractional order derivative is presented with their dyn
Externí odkaz:
https://doaj.org/article/71a426f1e02f4119bbfa108df7e19821
Publikováno v:
Waves in Random and Complex Media. :1-30
Autor:
Muhammad Asif Zahoor Raja, Saeed Islam, Ayaz Hussain Bukhari, Muhammad Shoaib, Muhammad Sulaiman, Poom Kumam
Publikováno v:
Alexandria Engineering Journal, Vol 59, Iss 5, Pp 3325-3345 (2020)
Robust modeling of a multimodal dynamic system is a challenging and fast-growing area of research. In this study, an integrated bi-modal computing paradigm based on Nonlinear Autoregressive Radial Basis Functions (NAR-RBFs) neural network model, a ne
Autor:
Muhammad Sulaiman, Muhammad Asif Zahoor Raja, Saeed Islam, Ayaz Hussain Bukhari, Muhammad Shoaib, Poom Kumam
Publikováno v:
Alexandria Engineering Journal, Vol 59, Iss 1, Pp 101-116 (2020)
Research community has a growing interest in neural networks because of their practical applications in many fields for accurate modeling and prediction of the complex behavior of systems arising from engineering, economics, business, financial and m
Autor:
Muhammad Shoaib, Muhammad Asif Zahoor Raja, Saeed Islam, Ayaz Hussain Bukhari, Poom Kumam, Muhammad Sulaiman
Publikováno v:
IEEE Access, Vol 8, Pp 71326-71338 (2020)
Forecasting of fast fluctuated and high-frequency financial data is always a challenging problem in the field of economics and modelling. In this study, a novel hybrid model with the strength of fractional order derivative is presented with their dyn
Publikováno v:
Chaos, Solitons & Fractals. 161:112375
Autor:
Ayaz Hussain Bukhari, Muhammad Asif Zahoor Raja, Naila Rafiq, Muhammad Shoaib, Adiqa Kausar Kiani, Chi-Min Shu
Publikováno v:
Chaos, Solitons & Fractals. 157:111985
Autor:
Saeed Islam, Muhammad Touseef Sabir, Muhammad Asif Zahoor Raja, Poom Kumam, Ayaz Hussain Bukhari, Zahir Shah, Hussam Alrabaiah, Muhammad Shoaib
Publikováno v:
Computer Methods and Programs in Biomedicine
Background: Mathematical modeling of vector-borne diseases and forecasting of epidemics outbreak are global challenges and big point of concern worldwide. The outbreaks depend on different social and demographic factors based on human mobility struct