Title :
Experimental analysis of the random memory space
Author :
Figueroa-Nazuno, J. ; Mayol-Cuevas, W.W. ; Sánchez-Guzmán, R.A. ; Medina, Vargas
Author_Institution :
Lab. de Sistemas Complejos, Univ. del Valle de Mexico-Lomas Verdes, Mexico
fDate :
27 Jun-2 Jul 1994
Abstract :
Based on the Ramsey theorem, 3 different tests were implemented on the random memory space (RMS) for neural networks. This model, is based on a matrix of 1´s and 0´s in which the strings that represents different patterns of a Hamming-like net are going to be searched for. The experimental tests shows the power for classification and storage of many classes of different patterns
Keywords :
learning (artificial intelligence); neural nets; pattern classification; Hamming-like net; classification; neural networks; random memory space; storage; Computational modeling; Face recognition; Laboratories; Neural networks; Pattern classification; Pattern recognition; Predictive models; Random access memory; Testing; Weather forecasting;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374210
