Neural network

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Traditionally, the term neural network had been used to refer to a network or circuit of biological neurons. The modern usage of the term often refers to artificial neural networks, which are composed of artificial neurons or nodes. Thus the term has two distinct usages:

Simplified view of an artificial neural network
Simplified view of an artificial neural network

[edit] Biological Neural Networks

These are made up of real biological neurons that are connected or functionally related in the peripheral nervous system or the central nervous system. In the field of neuroscience, they are often identified as groups of neurons that perform a specific physiological function in laboratory analysis.

[edit] Artificial Neural Networks

These are made up of interconnecting artificial neurons (either programming constructs, or electronic circuits that mimic the properties of biological neurons). Artificial neural networks may either be used to gain an understanding of biological neural networks, or for solving artificial intelligence problems without necessarily creating a model of a real biological system. The real, biological nervous system is highly complex and includes some features that may seem superfluous based on an understanding of artificial networks.

[edit] External References


  • A Neural Network Primer By: David W. Croft -- This is a basic overview of Neural Nets, and explains the math involved ina simple understadable way.



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