Abstract
In living creatures, the brain is the control unit and it can be divided in different anatomic and functional sub-units. An artificial neural network is a computational system for processing information as a response to external stimuli, which consists of a set of highly interconnected processing elements called neurons. It is very useful to have some knowledge of the way the biological nervous system is organized, since the artificial neural network is an inspiration of the biological neural networks. This chapter is an explanation of the Artificial Neural Network (ANN). The biological and mathematical definition of a neural network is provided and the activation functions effective for processing are listed. Some figures are collected for better understanding.
Reference19 articles.
1. Medical diagnosis of stroke using inductive machine learning;E.Alexopoulos;Proceedings of Machine Learning and Applications,1999
2. Fundamentals of neural networks;L.Fausett;Architectures, algorithms, and applications,1994
3. Evapotranspiration
4. Neural network ensembles