Barycentric Correction Procedure -
Efficient Threshold Unit Training Method for Constructive Algorithms
Herve Poulard and Said Labreche
Short Description
The BCP is an effective procedure for training threshold neurons.
The classification is performed using geometrical properties of
the patterns. Experimental results have shown that the BCP is
more effective than the perceptron variants such as the pocket
algorithm and the thermal perceptron. It is supposed to improve
the learning speed of constructive algorithms and also provide
better generalization.