Citation

Wan Nahar, Wan Nur Azah and Mohamed Yunos, Rahimah (2021) Artificial neural networks and its application in various fields of study. INSIGHT Journal, 8. pp. 235-248. ISSN 2600-8564

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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 in 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.

Item Type:	Article
Uncontrolled Keywords:	Neural networks (Computer science), Artificial Neural Network, prediction, forecasting, modelling
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Business (FOB)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	05 Aug 2021 08:31
Last Modified:	05 Aug 2021 08:31
URII:	http://shdl.mmu.edu.my/id/eprint/8850

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