Artificial neuron

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Revision as of 01:05, 14 April 2007 by imported>Felipe Ortega Gutiérrez
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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 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.