Box And Jenkins Models
Mostrando 13-24 de 33 artigos, teses e dissertações.
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13. Modelo de trafico Wimax basado en series de tiempo para pronosticar valores futuros de trafico
The objective of this research is to demonstrate that the time series are an excellent tool for modeling of data traffic on networks Wimax. To achieve this goal we used the Box-Jenkins method, which is described in this article. The traffic modeling Wimax through correlated models such as time series allow you to adjust much of the dynamic behavior of the da
JISTEM - Journal of Information Systems and Technology Management. Publicado em: 2008
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14. MODELOS DE PREVISÃO PARA CHEQUES COMPENSADOS NO BRASIL / PREDICTION MODEL FOR PAY IN CHECK BRAZIL
The main objective of this dissertation was to develop a forecast model for the amount of compensated cheques in Brazil, aiming at its use as tool of bank politics for the maintenance of its efficient regulation, as anticipation of scenes of ways o payments and for strategical planning in financial institutions. Considering the cheque to be the basic instrum
Publicado em: 2007
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15. Análise de métodos de agrupamento para o treinamento de redes neurais de base radical aplicadas à identificação de sistemas
For complex systems, modeling using basic laws to determine their dynamic behavior is not always possible. An alternative to solve these problems is use concepts of systems identification. Trough system identification it is possible to determine a mathematical model based on input and output data of the system. When little prior knowledge is available, it is
Publicado em: 2006
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16. A UTILIZAÇÃO DOS GRÁFICOS DE CONTROLE: UMA APLICAÇÃO NA ÁREA DA SAÚDE
Statistical methods and control charts are important resources to detect changes in various kinds of processes. It has been noticed along the years that these charts have been theoretically refined and, before the analogy and the simplicity of some statistical methods of quality control, it has been happening a great widespread and encouragement to apply the
Publicado em: 2006
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17. Mathematical / Statistical and Physical / Meteorological Models for Short-term Prediction of Wind Farms Output
(...)The rapid increase of the wind power penetration in the conventional grids all over the world has been requiring (from electricity companies and wind farm promoters) a special attention to the short-term prediction of wind farms output. Fomented by interest and necessity, companies and promoters are collaborating with universities and other research cen
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 02/12/2005
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18. THE USE OF DECISION TREES, NEURAL NETWORKS AND KNN SYSTEMS TO AUTOMATICALLY IDENTIFY BOX &JENKINS NON-SEASONAL AND SEASONAL STRUCTURES / UMA APLICAÇÃO DE ÁRVORES DE DECISÃO, REDES NEURAIS E KNN PARA A IDENTIFICAÇÃO DE MODELOS ARMA NÃO-SAZONAIS E SAZONAIS
A metodologia Box &Jenkins tem sido mais utilizada para fazer previsões do que outros métodos até então. Alguns analistas têm relutado, entretanto, em usar esta metodologia, em parte porque a identificação da estrutura adequada é uma tarefa complexa. O reconhecimento tanto dos padrões de comportamento das funções de autocorrelação quanto da auto
Publicado em: 2005
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19. TEMPORAL MODELLING OF THE WATER DISCHARGES MEASUREMENTS ON FUNIL DAM (RJ) USING NEURAL NETWORK AND STATISTICAL METHODS / MODELAGEM TEMPORAL DAS MEDIDAS DE VAZÃO DE DRENOS NA BARRAGEM DE FUNIL (RJ) UTILIZANDO REDES NEURAIS E MÉTODOS ESTATÍSTICOS
In works of great responsibility (ports, dams, nuclear power, etc.), the amount of instrumentation data may allow the construction of models for the temporary variability of the properties of interest based on neural network techniques. In case of dams, the monitoring through the installation of an instrumentation system plays a fundamental part in the evalu
Publicado em: 2005
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20. cellular networks; Mobile networks / Controle de admissÃo de chamas e reserva de recursos em redes mÃveis celulares
Handoff in wireless/mobile networks is the mechanism that transfers an ongoing call from the current cell as the mobile station moves through the coverage area of the system. User applications may experience performance degradation due to handoffs from user mobility. If the target cell does not have sufficient available bandwidth, the call will be dropped. F
Publicado em: 2004
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21. MONITORAMENTO DA INSTRUMENTAÇÃO DA BARRAGEM DE CORUMBÁ I POR REDES NEURAIS E MODELOS DE BOX &JENKINS / MONITORING OF THE CORUMBÁ-I DAM INSTRUMENTATION BY NEURAL NETWORKS AND THE BOX &JENKINSNULL MODELS
In this work, artificial neural networks and the Box &Jenkins models (1970) were used for analysis, modeling and forecasts of water discharges and pressure head development in the Corumbá-I dam, owned by Furnas Centrais Elétricas, from the instrumentation data recorded since 1997. Prediction of the probable values can be a powerful tool for early detection
Publicado em: 2003
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22. MODELOS LINEARES E NÃO LINEARES NA MODELAGEM DO PREÇO SPOT DE ENERGIA ELÉTRICA DO BRASIL / USING LINEAR AND NON-LINEAR APPROACHES TO MODEL THE BRAZILIAN ELECTRICITY SPOT PRICE SERIES
In this dissertation, modeling strategies are presented involving linear and non-linear time series models to model the spot price of Brazil`s electrical energy market. It has been used, among the linear models, the modeling approach of Box, Jenkins and Reinsel (1994) i.e., ARIMA(p,d,q) models, and dynamic regression. Among the non-linear ones, the chosen mo
Publicado em: 2003
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23. MODELO PARA PREVISÃO DA TEMPERATURA DE CONDUTORES DE LINHAS AÉREAS DE TRANSMISSÃO / MODEL FOR TRANSMISSION LINE CONDUCTORS TEMPERATURE FORECASTING
Transmission lines have a fundamental role in the electric system performance,connecting power sources to load centers. When the transmission system attains it`s transmission capability limit, the system must be expanded, either constructing new lines, or upgrading existing ones. Among the factors that can limit a transmission line transfer capability is the
Publicado em: 2002
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24. AUXÍLIO À ANÁLISE DE SÉRIES TEMPORAIS NÃO SAZONAIS USANDO REDES NEURAIS NEBULOSAS / IDENTIFICATION OF NON-SEASONAL TIME SERIES THROUGH FUZZY NEURAL NETWORKS
It is well known the difficulties associated with the tradicional procedure for model identification of the Box &Jenkins model through the pattern matching of the theoretical and estimated ACF and PACF. The decision on the acceptance of the null hypothesis of zero ACF (or PACF) for a given lag is based on a strong asymptotic result, particularly for the PACF
Publicado em: 2000