Artificial Neural Network And Its Islamic Relevance

Authors

  • Saadi Ahmad Kamaruddin

DOI:

https://doi.org/10.31436/revival.v1i03.48

Abstract

This paper begins with an introduction to neural networks and presents some mathematical models and their applications on complex systems, especially in learning processes. The paper introduces simple mathematical models which relate aspects of artificial neural network ANN to human information processing. The role of these models on learning process and their relevance to the Islamic worldview are investigated. 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. (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 method used was analytical outlook to comprehend ANN in an Islamic approach.

Keywords: Complex systems, artificial neural network, brain mechanism, Islamic world view

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Published

2011-12-29

How to Cite

Ahmad Kamaruddin, S. (2011). Artificial Neural Network And Its Islamic Relevance. Revelation and Science, 1(03). https://doi.org/10.31436/revival.v1i03.48