Intelligent Information Systems
-
Lecture 9 - Perceptrons
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Perceptron Learning
1. propagate an input vector through the perceptron
2. calculate the error for each output neuron by subtracting the actual output from the target output:
3. modify each weight
4. repeat steps 1-3 until the perceptron converges
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Maintained by Dr Michael J. Watts (
mike.watts.net.nz
).