Published September 2012.
Perceptrons and feedback circuits
In standard mathematical logic, a logic gate activates, or 'fires' depending on whether certain inputs are either ON of OFF
Example of a logical AND gate.
In an artificial neural network, this concept is extended: inputs can carry differing levels of current so that a gate (neurone) fires provided that the overall input level exceeds a certain threshold.
For what ranges of input levels will these neurones fire?
SOME PROBLEM WITH XOR
A feedback circuit
ACTIVATION FUNCTION -- SIGMOIDS