IIUM Repository

Artificial neural network and its Islamic relevance

Ahmad Kamaruddin, Saadi and Ahmed Shogar, Ibrahim Adam (2011) Artificial neural network and its Islamic relevance. Revelation and Science, 1 (3). pp. 138-148. ISSN 2229-9947

[img] PDF (Artificial Neural Network and Its Islamic Relevance) - Published Version
Restricted to Repository staff only

Download (601kB) | Request a copy

Abstract

The complex workings and wonders of the human brain have become mysterious since time immemorial. Human brain is a thinking organ that learns and grows by interacting with the world through perception and action; and it is able to continually adapt and rewire itself. Only recently scientists have been able to learn how the neural network of the brain forms. Artificial neural network (ANN) is a mathematical model or computational model that inspired by the structure and functional aspects of biological neural networks. As a final verdict, the complex structure of ANN which resembles the ordinary human brain mechanism may help for better understanding of the creative Power and lead to the enhancement of our faith in God as the Mighty Creator. The objective of this paper is to relate ANN with the Islamic worldview and its relevance for learning and education. The method used was analytical outlook to comprehend ANN in an Islamic approach.

Item Type: Article (Journal)
Additional Information: 4594/12818
Uncontrolled Keywords: Complex systems, artificial neural network, brain mechanism, Islamic world view
Subjects: B Philosophy. Psychology. Religion > B Philosophy (General)
Q Science > Q Science (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Science > Department of Computational and Theoretical Sciences
Depositing User: Assoc.Prof. Dr. Ibrahim Shogar
Date Deposited: 03 Jan 2012 14:28
Last Modified: 19 Jun 2017 09:52
URI: http://irep.iium.edu.my/id/eprint/12818

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year