Zobrazeno 1 - 5
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pro vyhledávání: '"Mohammad Shazri Shahrir"'
Publikováno v:
Journal of Applied Mathematics, Vol 2014 (2014)
A numerical solution of fuzzy quadratic Riccati differential equation is estimated using a proposed new approach for neural networks (NN). This proposed new approach provides different degrees of polynomial subspaces for each of the transfer function
Externí odkaz:
https://doaj.org/article/59a610a1f1e54be783c60a5866db5bb1
Autor:
Md. Kamal Hossain, Zainuridah Yusof, Mohd Izhan Mohd Yusof, Mohammad Shazri Shahrir, Noor M. Asraf
Publikováno v:
2017 IEEE Conference on Big Data and Analytics (ICBDA).
The past years have seen the telecommunications network and services increase in their complexity due to changes in traffic patterns, usage of the network and applications. This is in part driven by the growing customer base, services, broadband usag
Autor:
Mohammad Shazri Shahrir, Ng Wai Keat
Publikováno v:
AIP Conference Proceedings.
In computer science research, ontologies are commonly utilised to create a unified abstract across many rich and different fields. In this paper, we apply the concept to the customer centric domain of digital services analytics and present an analyti
Publikováno v:
AIP Conference Proceedings.
There are many applications of optimal control theory especially in the area of control systems in engineering. In this paper, fuzzy quadratic Riccati differential equation is estimated using neural networks (NN). Previous works have shown reliable r
Publikováno v:
Journal of Applied Mathematics, Vol 2014 (2014)
J. Appl. Math.
J. Appl. Math.
A numerical solution of fuzzy quadratic Riccati differential equation is estimated using a proposed new approach for neural networks (NN). This proposed new approach provides different degrees of polynomial subspaces for each of the transfer function