Title :
3-dimensional pattern recognition using weightless neural networks (Aleksander´s model)
Author :
Figueroa-Nazuno, J. ; Vazquez-Nava, A. ; Medina, E. Vargas
Author_Institution :
Lab. de Sistemas Complejos, Univ. La Salle, Mexico
Abstract :
A system composed of a weightless neural network (Aleksander´s model) is described. This system performs 2D and 3D recognition of patterns which are drawn with five different gray tones or colors. The system is capable of recognizing from 2 to 15 different pattern classes. The authors describe the structure and behavior of this system during the learning and recognition phases
Keywords :
neural nets; pattern recognition; 3D pattern recognition; Aleksander´s model; gray tones; learning phase; pattern classes; pattern representation array; recognition phases; weightless neural network; Artificial intelligence; Artificial neural networks; Bismuth; Distributed computing; Laboratories; Learning; Neural networks; Pattern recognition; Probability distribution; Sampling methods;
Conference_Titel :
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-0559-0
DOI :
10.1109/IJCNN.1992.227315
