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Now showing items 31-40 of 48
Redes de Computadoras
(2011-07)
The networks generally consist of "resource sharing", and one of its goals is to make all programs, data and equipment are available to anyone on the network that request, regardless of physical location of the resource ...
Estructura de datos. Pilas y Colas
(2013-11-08)
Una pila representa una estructura lineal de datos en que se puede
agregar o quitar elementos únicamente por uno de los dos
extremos. En consecuencia, los elementos de una pila se eliminan
en el orden inverso al que ...
Topologías de Red
(2011-07)
The network topological describe Physical Distribution network. Is unthinkable today the use of computers, without the advantage of high capacity interconnection with that have either used small local networks or on the ...
Red Digital de Servicios Integrados
(2011-07)
ISDN (Integrated Services Digital Network) is a technology that allows transmission of data, images, voice, video and text in digital form.
Aprendizaje No Supervisado (Aprendizaje Asociativo)
(2011-07)
It gives an introduction to associative learning using Hebb's postulate of learning networks belonging to unsupervised.
Aplicaciones de Redes Neuronales e Inspiracióm Biológica
(2011-07)
This presentation will raise a number of areas where they apply different neural network paradigms. We describe the biological model of a neuron, as well as the basics of neuron.
Estructura de datos. Recursión
(2011)
La recursión o recursividad es un
concepto amplio, con muchas
variantes, y difícil de precisar con
pocas palabras.
Estructuras Fundamentales de Datos
(2011)
Con el propósito de que la computadora procese
la información esta debe ser almacenada en la
memoria. De acuerdo con la forma en que los
datos se organizan se clasifican en:
*Tipos de datos simples (TDS)
* Tipos ...
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.