IIARD International Institute of Academic Research and Development

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND MATHEMATICAL THEORY (IJCSMT )

E-ISSN 2545-5699
P-ISSN 2695-1924
VOL. 10 NO. 5 2024
DOI: 10.56201/ijcsmt.v10.no5.2024.pg35.45

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Learning in Artificial Neural Networks

Learning in Artificial Neural Networks Grace Tam-Nurseman and Philip Achimugu

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Abstract

A lot of Materials out there either in softcopy online or hardcopy over the shelve has proven difficult to understand due to high technicality in the style of writing. The are so much of mathematical formulas and terms that are difficult for upcoming scholars in this field of artificial intelligence to grasp. This has discouraged young scholar. The need to simplify what artificial intelligence really is, is necessary to encourage more people to see its beauty and benefit. Developing countries need more of this knowledge in order to invest and develop artificial intelligence related projects to encourage fast growing rate. This article is written in the simplest of terms for people to appreciate artificial intelligence. It is free of mathematical formulas which is one of the discouraging factors in the study of artificial intelligence. It is aimed at providing the basics building foundation for scholars intending to embark on artificial intelligence projects.

keywords:

Artificial Intelligence, Neurons

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