Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Khairil Anuar Arshad"'
Publikováno v:
Statistika, Vol 8, Iss 2 (2014)
In this paper, two artificial neural networks models, namely the multilayer feedforward neural network and the recurrent neural network are applied for Malaysia's load forecasting. A half hourly load data is divided equally into three distinct sets f
Externí odkaz:
https://doaj.org/article/12b288935cfe4008a12c2a0d34bfd577
Publikováno v:
Journal of Physics: Conference Series. 1349:012096
Rotating Disc Contactor (RDC) columns are one of the extractors that used for liquid-liquid extraction. It has an extensive application in various industries. The performances of these columns indicate that they are more efficient and possess better
Publikováno v:
Journal of Interdisciplinary Mathematics. 13:125-134
This paper presents the use of two artificial neural networks models, namely the multilayer feedforward neural network (MLFF) and the recurrent neural network (RNN) are applied for Malaysia’s load forecasting. For this purpose, a half hourly load d
Publikováno v:
Journal of Mathematical Chemistry. 47:1263-1273
In this paper we have investigated and explored the realm of fuzzy graph in its relation to autocatalytic sets. A new concept namely fuzzy autocatalytic set have been defined. This relation has produced some results in the forms of theorems which hav
Autor:
Jamal Hisham Hashim, Mazrura Sahani, Haidar Rizal Toha, Mohd Shahir Shamsir, Khairil Anuar Arshad
Publikováno v:
ISEE Conference Abstracts. 2014
Autor:
Wan Nurul Aiffah Ismail, Khairil Anuar Arshad, Siti Aisyah Zakaria, Ibrahim Sulong, Nor Fashihah Mohd Noor
Publikováno v:
AIP Conference Proceedings.
Liquid-liquid extraction is one of the most important separation processes. Different kinds of liquid-liquid extractor such as Rotating Disc Contactor (RDC) Column being used in industries. The study of liquid-liquid extraction in an RDC column has b