Document Type
Article
Keywords
Artificial neural networks, Machine Learning, Neurons, Human brain, Artificial intelligence
Abstract
Artificial neural networks (ANNs) are the modelling of the human brain with the simplest definition, and the building blocks are neurons. There are about 100 billion neurons in the human brain. Each neuron has a connection point between 1,000 and 100,000. In the human brain, information is stored in such a way as to be distributed, and we can extract more than one piece of this information from our memory in parallel when necessary. We are not mistaken when we say that a human brain is made up of thousands of very, very powerful parallel processors. In multi-layer artificial neural networks, there are also neurons placed in a similar manner to the human brain. Each neuron is connected to other neurons with specific coefficients. During training, information is distributed to these connection points so that the network is learned.
How to Cite This Article
Mijwel, Maad M.
(2021)
"Artificial Neural Networks Advantages and Disadvantages,"
Mesopotamian Journal of Big Data: Vol. 1:
Iss.
1, Article 6.
DOI: 10.58496/MJBD/2021/006
Available at:
https://map.researchcommons.org/mjbd/vol1/iss1/6