Artificial neuron: Difference between revisions
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imported>Felipe Ortega Gutiérrez No edit summary |
imported>Felipe Ortega Gutiérrez No edit summary |
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'''Artificial neurons''' (also called '''McCulloch-Pitts''' neurons) are simple processing units based on the biological neurons. They can get connected to form [[Artificial Neural Network|artificial neural networks]]. | '''Artificial neurons''' (also called '''McCulloch-Pitts''' neurons) are simple processing units based on the biological neurons. They can get connected to form [[Artificial Neural Network|artificial neural networks]]. | ||
[[Image:artificialneuron.png]] | |||
==Behavior== | ==Behavior== | ||
Revision as of 01:24, 14 April 2007
Artificial neurons (also called McCulloch-Pitts neurons) are simple processing units based on the biological neurons. They can get connected to form artificial neural networks.
Behavior
Input signals are multiplied by values called weights producing a new value called activation. After the activation is produced, it gets filtered if the input doesn't exceed a value called threshold.
The threshold value can be determined by a step function, a sigmoid and other methods.