Title :
Interactive pattern classification by means of artificial neural networks
Author :
Betrouni, M. ; Delsert, S. ; Hamad, D.
Author_Institution :
Centre d´´Autom. de Lille, Univ. des Sci. et Tech. de Lille, Villeneuve d´´Ascq, France
Abstract :
In this paper, we deal with the visualization of multivariate data by nonlinear projection methods performed by several multilayer neural networks. As the visualization is the first step in interactive pattern classification, we provide the operator with a set of tools to manipulate the data. The results have been applied to a real biometrical example of the Guadeloupe honeybees races
Keywords :
interactive systems; multilayer perceptrons; pattern classification; Guadeloupe honeybees races; artificial neural networks; biometrical example; interactive pattern classification; multilayer neural networks; multivariate data visualization; nonlinear projection methods; Artificial neural networks; Backpropagation algorithms; Data analysis; Data visualization; Humans; Multi-layer neural network; Multidimensional systems; Neural networks; Pattern classification; Principal component analysis;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.538290
