Forecasting Methods
Mostrando 13-24 de 69 artigos, teses e dissertações.
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13. The Prediction of the Man-Hour in Aircraft Assembly Based on Support Vector Machine Particle Swarm Optimization
ABSTRACT: As the representative of manufacturing industry, aircraft assembly lacks of effective method to forecast man-hour. The forecasting accuracy of existing methods is universally pretty low. On the basis of full analysis of aircraft assembly's feature, this study proposes a forecasting model based on support vector machine (SVM), which is optimized by
J. Aerosp. Technol. Manag.. Publicado em: 2015-03
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14. Estimação e previsão da estrutura a termo das taxas de juros usando técnicas de inteligência computacional / Term structure of interest rate modeling and forecasting using computational intelligence techniques
This work proposes the term structure of interest rates modeling and forecasting using computational intelligence techniques, based on data from the US and Brazilian fixed income markets. The yield curve modeling includes the use of some evolutionary computation methods like Genetic Algorithms, Differential Evolution and Evolution Strategies in comparison wi
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/06/2012
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15. Desenvolvimento de um método para levantamento de tecnologias de materiais empregados no trem de força automotivo (powertrain) a partir de patentes / Devolopment of a patent based method for surveying materials technologies used in automotive powertrain
This research approaches the study from patents of technologies for materials used in power train of motor vehicles, to provide additional information in order to support decision making in this universe, especially in the selection of materials and their processing. The powertrain is currently the most important subsystem in a car, being appointed as chief
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 27/05/2012
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16. BIAS DETECTION IN DEMAND FORECASTING / DETECÇÃO DE VIÉS NA PREVISÃO DE DEMANDA
The purpose of this dissertation is to propose two new methods for detection of biases in demand forecasting. These methods are adaptations of two statistical process control techniques, the EWMA control chart and the CUSUM control chart (or CUSUM algorithm), to the context of the detection of biases in demand forecasting. The performance of the proposed met
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 14/09/2011
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17. A HIERARCHICAL FACTOR MODEL FOR THE JOINT PREDICTION OF CORPORATE BOND YIELDS / MODELO HIERÁRQUICO DE FATORES PARA A PREVISÃO CONJUNTA DAS ESTRUTURAS A TERMO DAS TAXAS DE JUROS DE CORPORATE BONDS
O objetivo deste trabalho é a construção de um modelo integrado para previsão da estrutura a termo da taxa de juros, referentes a títulos corporativos americanos para diferentes níveis de risco. A metodologia é baseada no modelo de Nelson e Siegel (1987), com extensões propostas por Diebold e Li (2006) e Diebold, Li e Yue (2008). Modelamos a estrutur
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 14/09/2011
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18. Análise e proposta de melhoria do processo de previsão de demanda em uma pequena empresa do setor de cosméticos
Nowadays, even small-sized enterprises are investing in integrated management systems, called ERP (Enterprise Resource Planning), as a way to solve planning problems and to better control their cash flow. However, these enterprises end up neglecting one of the main inputs to improve the PPC (Production Planning and Control): the demand forecast. Thus, planni
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 06/07/2011
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19. Relationship between the spectral response of sugar cane, based on AVHRR/NOAA satellite images, and the climate condition, in the state of São Paulo (Brazil), from 2001 to 2008.
The objective of this work was analyze the correlation between time series of an agroclimatic index (WRSI) and the spectral response (NDVI) of sugar cane based on images of AVHRR/NOAA satellites, in producing regions of the state of Sao Paulo (Brazil), from 2001 to 2008. The use of time series of AVHRR/NOAA images having subsequent growing seasons improved t
INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES. Publicado em: 2011
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20. Identification of sugar cane fields in the state of sao paulo using a time series of AVHRR/NOAA satellite images.
Brazil is the first world producer of sugar cane. Despite the economic and social importance of agribusiness to Brazil, it is still difficult to estimate the harvest of the its main agricultural crops with the precision and anticipation needed, justifying the study and development of new methods based on the use of remote sensing data, for example. Even cons
INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES. Publicado em: 2011
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21. Mining relevant and extreme patterns on climate time series with CLIPSMiner.
One of the most important challenges for the researchers in the 21st Century is related to global heating and climate change that can have as consequence the intensi?cation of natural hazards. Another problem of changes in the Earth?s climate is its impact in the agriculture production. In this scenario, application of statistical models as well as developme
Journal of Information and Data Management. Publicado em: 2011
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22. Integrating time series mining and fractals to discover patterns and extreme events in climate and remote sensing databases.
This thesis presents new methods based on fractal theory and data mining techniques to support agricultural monitoring in regional scale, specifically regions with sugar cane fields. This commodity greatly contributes to the Brazilian economy since it is a viable alternative to replace fossil fuels. Since climate influences the national agricultural producti
2010.. Publicado em: 2011
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23. Previsão de demanda de autopeças com redes neurais
This paper presents a methodology for forecasting demand parts based on Artificial Neural Networks (ANN). To validate it, we performed a comparative study on a reference work in the literature, which is based on exponential smoothing and moving average methods. The products are grouped into 10 categories according to proximity, resulting on 72 monthly observ
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 20/08/2010
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24. Modelos de séries temporais com coeficientes variando no tempo
In this work they are presented extensions of Auto Regressive and Auto Regressive Conditional Heteroscedasticity models with coefficients varying in time. These coefficients have been used as models for non stationary real time series, specially for financial series. The objective of this work is to present the models and the techniques involved in estimatin
Publicado em: 2009