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Now showing items 31-34 of 34
Introducción a las Redes Neuronales
(2011-07)
This presentation describes a brief history of Neural Networks (RN), are some definitions of RN, and their advantages and disadvantages, in order to identify the basics and fundamentals of neural networks
Mapa Auto Organizados
(2011-07)
It describes the characteristics of self-organizing maps, the learning rule, the training algorithm, in order to solve classification problems.
Segmentos de un Archivo .EXE
(2011-07)
A segment is a special area in a program that starts on a paragraph boundary. You can have any number of segments to address a particular segment enough to change the address in the appropriate segment register. The three ...
Perceptron
(2011-07)
We describe the Perceptron model, history, characteristics, training algorithm for solving classification problems, worked examples are also presented, as well as the limitations of this type of network.