Forecasting Process
Mostrando 25-36 de 55 artigos, teses e dissertações.
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25. PREVISÃO DE ESTOQUE DE PEÇAS ELETRÔNICAS SOBRESSALENTES / STOCK FORECASTING FOR ELETRONICS SPARE PARTS
There is a consensus that time series model is not appropriate in forecasting replacement parts. However most of market used forecasting tools are time series models. This work presents Poisson distribution as an alternative to forecast replacement parts on electronic equipments. From basic stock management notions, using time series and trust concepts of re
Publicado em: 2007
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26. History matching using statistical design, production data and saturation map / Ajuste de historico utilizando planejamento estatistico e combinação de dados de produção, pressão e mapas de saturação
The main objective of history matching is to improve numerical models of oil fields by incorporating observed data, production and pressure, into the characterization process, in order to obtain more reliable production forecasting. This technique presents some limitations mainly in the beginning of the development of oil fields, when less information is ava
Publicado em: 2007
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27. Uma ferramenta de programação visual para previsão e reconhecimento de padrões / A visual programming tool for forecasting and pattern recognition
A tomada de decisão, em qualquer setor e nos mais diversos níveis, é um processo cada vez mais complexo, principalmente em função do nível de incerteza em relação ao futuro. Neste contexto, a disponibilidade de previsões torna-se um fator importante para uma decisão mais eficaz. As ferramentas de reconhecimento de padrões, por sua vez, são import
Publicado em: 2007
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28. Modelagem ambiental de uma casa de vegetação utilizando rede de osciladores de Van Der Pol. / Greenhouse environmental modeling using Van Der Pol oscillator network.
Agricultural automation is an important area in the development of Brazilian production in recent years. Often, measurement and control of the internal conditions of greenhouses are not easy to implement at a reasonable cost. Researches in this area look for models using computational theory, foreseeing the behavior of internal variables of a greenhouse from
Publicado em: 2007
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29. A semi-parametric methodology to IBNR (Incurred But Not Reported) / Uma metodologia semi-parametrica para IBNR (Incurred But Not Reported)
We compare several forecast techniques for IBNR(Incurred But Not Reported) from a Run-Off triangle data, since the most simple techniques like Chain-Ladder and Separation Technique, to the more complex using Log-Normal models and Compound Poisson distribution. Therefore, exist the necessity of the use of Nonparametric techniques, using a model that consider
Publicado em: 2006
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30. Verificação da aplicabilidade da técnica de mineração de dados na previsão da demanda por transporte de passageiros urbanos usando dados da região metropolitana de São Paulo / An evaluation process of the data mining technique for forecasting urban passengers transportation demand using São Paulo metropolitan area data
O objetivo desta pesquisa é validar a hipótese de que o minerador de dados pode ser utilizado como uma ferramenta para previsão dos padrões de viagens, inclusive sob mudança comportamental dos indivíduos. Para o desenvolvimento deste trabalho foi adotada uma postura científica indutiva, utilizando como dados as informações contidas nas duas pesquisa
Publicado em: 2006
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31. HIGH FREQUENCY DATA AND PRICE-MAKING PROCESS ANALYSIS: THE EXPONENTIAL MULTIVARIATE AUTOREGRESSIVE CONDITIONAL MODEL - EMACM / ANÁLISE DE DADOS DE ALTA FREQÜÊNCIA E DO PROCESSO DE FORMAÇÃO DE PREÇOS: O MODELO MULTIVARIADO EXPONENCIAL - EMACM
The availability of high frequency financial transaction data - price, spread, volume and duration -has contributed to the growing number of scientific articles on this topic. The first proposals were limited to pure duration models. Later, the impact of duration over instantaneous volatility was analyzed. More recently, Manganelli (2002) included volume int
Publicado em: 2006
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32. Previsão de carga de curto prazo usando ensembles de previsores selecionados e evoluidos por algoritmos geneticos / Short-term load forecasting using esembles of selected and evolved predictors by genetic algorithms
This work proposes a methodology for short-term electric power load forecasting. This methodology is being widely used under the context of time series prediction and pattern recognition. It was named "ensembles" by the authors who developed it. This name carries the meaning of an assemblage of parts considered as forming a whole. Therefore, this name expres
Publicado em: 2006
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33. MODELING AND FORECAST OF THE RECOVERABLE OIL VOLUME: METHODOLOGY AND APPLICATION IN BRAZILIAN BASINS / MODELAGEM E PREVISÃO DO VOLUME DE ÓLEO RECUPERÁVEL: METODOLOGIA E APLICAÇÃO EM BACIAS BRASILEIRAS
This dissertation presents methodologies to forecast the recoverable oil volume in sedimenary basins and to explain the evolution of the discovery process. The evolution of the discovery process is modeled as the product of two mathematical functions of opposing trends, namely, the control function, increasing, which represents the degree of knowledge and in
Publicado em: 2006
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34. Execução forçada de créditos alimentares contra a Fazenda Pública Brasileira na Justiça do Trabalho / Foreclosure of alimony against the Brazilian Public Treasury in the Labor Court
This is a critical study about the foreclosure of alimony against the Brazilian Public Treasury in the Labor Court, where it is evident that when the public administrator does not pay regularly dispatched precatory, the execution creditor, due to the understanding adopted by our Supreme Court, stays without efficient legal remedy to obtain the settlement of
Publicado em: 2005
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35. Recurrent neural networks for prediction of short and long memory time series / Modelos de redes neurais recorrentes para previsão de series temporais de memorias curta e longa
Forecasting of time series is a topic of great interest nowadays. To do so, the data generating process needs to be estimated with a good degree of accuracy. In the last years, artificial neural networks are becoming more important in the statistical community. The more basic structure of a neural network, the feedforward neural nets, without feedback, can b
Publicado em: 2005
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36. HIBRID NEURO-FUZZY-GENETIC SYSTEM FOR AUTOMATIC DATA MINING / SISTEMA HÍBRIDO NEURO-FUZZY-GENÉTICO PARA MINERAÇÃO AUTOMÁTICA DE DADOS
This dissertation presents the proposal and the development of a totally automatic data mining system. The main objective is to create a system that is capable of extracting obscure information from complex databases, without demanding the presence of a technical specialist to configure it. The Hierarchical Neuro-Fuzzy Binary Space Partitioning model (NFHB)
Publicado em: 2004