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

 


   
Maintained by Dr Michael J. Watts (mike.watts.net.nz).