Redes Neuronales

REDES NEURONALES ARTIFICIALES María Jesús de la Fuente Dpto. Ingeniería de Sistemas y Automática Universidad de Valladolid

ÍNDICE ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

REDES NEURONALES ,[object Object],[object Object],[object Object],[object Object]

NEURONA ARTIFICIAL ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

NEURONA ARTIFICIAL ,[object Object],[object Object],[object Object],[object Object],[object Object]

RNA de una capa ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

RNA Multicapa ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Entrenamiento I ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Perceptrones ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Aprendizaje del Perceptrón. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Regla delta ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Redes Neuronales Lineales. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Backpropagation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Red Perceptron Multicapa (MLP) ,[object Object],[object Object],[object Object]

Algoritmo backpropagation I ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Adelante Atrás

Algoritmo backpropagation II ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Algoritmo backpropagation III ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Algoritmo Backpropagation IV ,[object Object],[object Object],[object Object]

Redes Neuronales no supervisadas I ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Redes Neuronales No-Supervisadas II ,[object Object],[object Object],[object Object],[object Object]

RNA no supervisadas III ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

VENTAJAS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

APLICACIONES ,[object Object],[object Object],[object Object],[object Object],[object Object]

Redes Neuronales en identificación de sistemas

Identificación de sistemas ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Sistema Entrada: u(t) Salida: y(t)

RNA que representan el tiempo ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Red PML con ventana temporal ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],u(t) u(t-1) u(t-2) … u(t-m) y(t-1) y(t-2) … ym (t)

Redes neuronales recurrentes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Estructuras neuronales para la identificación ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Modelo NARX ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Modelo NOE ,[object Object],[object Object],[object Object]

Validación ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Ejemplo I ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Camisa Reactor Fl, Ca0, Tl0 Fr, Tr0 Ca, Cb, Tl Tr A B

Ejemplo II ,[object Object],[object Object]

Ejemplo III ,[object Object],[object Object],[object Object],R.N.A. Elman R.N.A. Elman R.N.A. Elman R.N.A. Elman Ca Cb Tl Tr Fl Fr Ca0 Tl0 Tr0

Ejemplo IV ,[object Object],[object Object]

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