Title :
Adapting the 2-class recursive deterministic perceptron neural network to m-classes
Author :
Tajine, Mohamed ; Elizondo, David ; Fiesler, Emile ; Korczak, Jerzy
Author_Institution :
Dept. d´´Inf., ULP, Strasbourg, France
Abstract :
We introduce a generalization of the 2-class recursive deterministic perceptron (RDP). This generalization allows the perceptron to separate, in a deterministic way, into m classes. It is based on a new notion of linear separability and it falls naturally from the 2 valued RDP
Keywords :
function approximation; generalisation (artificial intelligence); pattern classification; perceptrons; topology; function approximation; generalization; hyperplane; linear separability; neural network; pattern classification; recursive deterministic perceptron; topology; Neural networks; Testing; Topology; Zirconium;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.614122
