Predicción con redes neuronales artificiales: Comparación con las metodologías de box y jenkins

Joanna Collantes Duarte; Gerardo Colmenares La Cruz; Giampaolo Orlandoni Merli; Franklin Rivas Echeverría

Predicción con redes neuronales artificiales: Comparación con las metodologías de box y jenkins

Joanna Collantes Duarte^*
, Gerardo Colmenares La Cruz
, Giampaolo Orlandoni Merli
, Franklin Rivas Echeverría

^*Autor correspondiente de este trabajo

Producción científica: Revista › Artículo › revisión exhaustiva

2 Citas (Scopus)

Resumen

This paper deals with a comparison between Box and Jenkins methodologies and Artificial Neural Networks on time series forecasting. ARIMA and Transfer Function Models are compared with Neural Network Models. Performance of the building models are analysed using comparative criteria during the prediction and fitness stage.

Título traducido de la contribución	A comparison of time series forecasting between artificial neural networks and Box and Jenkins methods
Idioma original	Español
Páginas (desde-hasta)	146-160
Número de páginas	15
Publicación	Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia
Volumen	27
N.º	3
Estado	Publicada - dic 2004
Publicado de forma externa	Sí

Palabras clave

ARIMA model
Artificial neural network
Box and Jenkins methodology
Forecasting time series
Neo-fuzzy neuron
Transfer function model

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

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title = "Predicci{\'o}n con redes neuronales artificiales: Comparaci{\'o}n con las metodolog{\'i}as de box y jenkins",

abstract = "This paper deals with a comparison between Box and Jenkins methodologies and Artificial Neural Networks on time series forecasting. ARIMA and Transfer Function Models are compared with Neural Network Models. Performance of the building models are analysed using comparative criteria during the prediction and fitness stage.",

keywords = "ARIMA model, Artificial neural network, Box and Jenkins methodology, Forecasting time series, Neo-fuzzy neuron, Transfer function model",

author = "Duarte, \{Joanna Collantes\} and \{La Cruz\}, \{Gerardo Colmenares\} and Merli, \{Giampaolo Orlandoni\} and Echeverr{\'i}a, \{Franklin Rivas\}",

year = "2004",

month = dec,

language = "Espa{\~n}ol",

volume = "27",

pages = "146--160",

journal = "Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia",

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publisher = "Revista Tecnica de la Facultad de Ingeniera",

number = "3",

}

Predicción con redes neuronales artificiales: Comparación con las metodologías de box y jenkins. / Duarte, Joanna Collantes; La Cruz, Gerardo Colmenares; Merli, Giampaolo Orlandoni et al.
En: Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia, Vol. 27, N.º 3, 12.2004, p. 146-160.

Producción científica: Revista › Artículo › revisión exhaustiva

TY - JOUR

T1 - Predicción con redes neuronales artificiales

T2 - Comparación con las metodologías de box y jenkins

AU - Duarte, Joanna Collantes

AU - La Cruz, Gerardo Colmenares

AU - Merli, Giampaolo Orlandoni

AU - Echeverría, Franklin Rivas

PY - 2004/12

Y1 - 2004/12

N2 - This paper deals with a comparison between Box and Jenkins methodologies and Artificial Neural Networks on time series forecasting. ARIMA and Transfer Function Models are compared with Neural Network Models. Performance of the building models are analysed using comparative criteria during the prediction and fitness stage.

AB - This paper deals with a comparison between Box and Jenkins methodologies and Artificial Neural Networks on time series forecasting. ARIMA and Transfer Function Models are compared with Neural Network Models. Performance of the building models are analysed using comparative criteria during the prediction and fitness stage.

KW - ARIMA model

KW - Artificial neural network

KW - Box and Jenkins methodology

KW - Forecasting time series

KW - Neo-fuzzy neuron

KW - Transfer function model

UR - https://www.scopus.com/pages/publications/14844366324

M3 - Artículo

AN - SCOPUS:14844366324

SN - 0254-0770

VL - 27

SP - 146

EP - 160

JO - Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia

JF - Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia

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