Abstract
Artificial Neural Networks (ANN) approach is an alternate way to classical methods. As a computation and learning paradigm, the approach is used to solve complicated practical problems in numerous fields, such as accounting and business, engineering, medical and healthcare, geological and energy. The application varies from modelling, identification, prediction, and forecasting. In contrast to conventional procedure, ANN is trained using data exemplifying the behaviour of a system. This paper presents applications of ANN in various.fields of study. The applications are i n the form of designing and modelling, identification and evaluation, and prediction and control. Published literature presented in this study serves as evidence that ANN is a useful tool in various disciplines across many industries. This paper will encourage researchers and professionals to explore ANN.
Keywords: Artificial Neural Network, prediction,forecasting, modelling
Metadata
Item Type: | Article |
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Creators: | Creators Email / ID Num. Wan Nahar, Wan Nur Azah wammrazah.wannahar@mmu.edu.my Mohamed Yunos, Rahimah rahim221@uitm.edu.my |
Subjects: | T Technology > T Technology (General) > Technological change > Technological innovations |
Divisions: | Universiti Teknologi MARA, Johor > Segamat Campus > Faculty of Business and Management Universiti Teknologi MARA, Johor > Segamat Campus |
Programme: | Bachelor of Business Administration (Hons) Investment Management |
Journal or Publication Title: | Insight Journal (IJ) |
UiTM Journal Collections: | Listed > INSIGHT Journal (IJ) |
ISSN: | 2600-8564 |
Volume: | 8 |
Page Range: | pp. 235-248 |
Related URLs: | |
Date: | 2021 |
URI: | https://ir.uitm.edu.my/id/eprint/109112 |