Perceptron learning algorithm.
Classical Perceptron Algorithm
Reference: Rosenblatt, F.: The perceptron: A probabilistic model for information storage and organization in the brain. Psychological Review 65, 386–407, 1958.
Documentation
algorithms/icl_learn_Perceptron
ILS = icl_learn_Perceptron(ILS, x, y, yp, mode)
Inputs:
| ILS | structure describing the learning system |
| x | double input vector in [-10,10] |
| y | true label, i.e. target value of the example, in [-1, 1] for regression or [-1; 1] for classification |
| yp | predicted label, i.e. current output of the approximation, in [-1, 1] for regression or [-1; 1] for classification |
| mode | operating mode (regression=1, classification=2) |
Outputs:
| ILS | updated matlab structure describing the learning system |
Calls:
Called by:
- none
Authors:
- Andreas Buschermöhle (andbusch(at)uos.de)
Last change: 2013-03-13 - Version 1.5