Time Series Prediction
Mostrando 1-12 de 82 artigos, teses e dissertações.
-
1. RESPOSTA A CARTA AO EDITOR: O FENÔMENO DE DOSE-RESPOSTA ASSOCIADO AO TREINAMENTO DE FORÇA É INDEPENDENTE DO VOLUME DE SÉRIES E REPETIÇÕES POR SESSÃO
Abstract This study aimed to evaluate the effect of the variability in ambient air conditions (temperature and relative humidity) and periods of exposure on the same batch of table grapes in the first stages of the fruit supply chain (harvesting, processing and storage prior to commercialization), in order to predict their dynamic shelf life. To estimate the
Rev Bras Med Esporte. Publicado em: 2021-06
-
2. Modeling hourly air temperature based on internationally agreed times and the daily minimum temperature
RESUMO Existem áreas que exigem conhecimento da variação da temperatura do ar ao longo do dia, como previsão de doenças ou cálculo de horas de frio. Porém, nem sempre há estações meteorológicas automáticas próximas para observar esta variável. Nesse sentido, modelos que descrevem a variação temporal diária da temperatura do ar podem ser util
Rev. bras. eng. agríc. ambient.. Publicado em: 14/10/2019
-
3. Propriedades Multifractais da Temperatura do Ar Diária no Nordeste do Brasil
Resumo A investigação da dinâmica das variáveis climáticas fornece informações importantes sobre a sua variabilidade espaço-temporal. Compreender esses processos é fundamental para o desenvolvimento de modelos climáticos que sirvam de base para a análise de cenários futuros e para a previsão das mudanças climáticas. Neste trabalho, analisaram-
Rev. bras. meteorol.. Publicado em: 30/05/2019
-
4. Modeling and Experimental Validation of Two Adjacent Portal Frame Structures Subjected to Vibro-impact
Abstract In many engineering applications, there are systems that exhibit a series of collisions in a certain amount of time, for example the impact of floating ice in ships and the rubbing between stationary and rotary parts in turbomachinery. In many of these situations, it is of vital importance to know how the impacts affect the overall system behavior f
Lat. Am. j. solids struct.. Publicado em: 08/04/2019
-
5. Bronchiolitis Hospitalization in Southern Brazil from 2002 to 2012: A Count Time-series Approach
Abstract INTRODUCTION: Because the antibody neutralizing respiratory syncytial virus (anti-RSV) has a short period of immunization and high cost, the identification of regions and months of highest occurrence of bronchiolitis is very important. METHODS: An Autoregressive Conditional Poisson model was constructed for count data and compared to the standard
Rev. Soc. Bras. Med. Trop.. Publicado em: 28/03/2019
-
6. Structural Analysis of the Double Bottom Structure During Ship Grounding by Finite Element Approach
Abstract Possibility of a water-transportation mode to experience numerous accidental loads is predicted limitless and always demand sustainable analysis. Impact phenomenon raises as main reason of environmental damage, for instance, grounding contributes in form of short-time impact and produces massive damage on the bottom structure of a marine vessels, e.
Lat. Am. j. solids struct.. Publicado em: 2017-06
-
7. Artificial neural network for prediction of the area under the disease progress curve of tomato late blight
ABSTRACT: Artificial neural networks (ANN) are computational models inspired by the neural systems of living beings capable of learning from examples and using them to solve problems such as non-linear prediction, and pattern recognition, in addition to several other applications. In this study, ANN were used to predict the value of the area under the diseas
Sci. agric. (Piracicaba, Braz.). Publicado em: 2017-02
-
8. Time-series forecasting of pollutant concentration levels using particle swarm optimization and artificial neural networks
This study evaluates the application of an intelligent hybrid system for time-series forecasting of atmospheric pollutant concentration levels. The proposed method consists of an artificial neural network combined with a particle swarm optimization algorithm. The method not only searches relevant time lags for the correct characterization of the time series,
Quím. Nova. Publicado em: 2013
-
9. Evolving granular systems = : Sistemas granulares evolutivos / Sistemas granulares evolutivos
In recent years there has been increasing interest in computational modeling approaches to deal with real-world data streams. Methods and algorithms have been proposed to uncover meaningful knowledge from very large (often unbounded) data sets in principle with no apparent value. This thesis introduces a framework for evolving granular modeling of uncertain
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 19/07/2012
-
10. Estudo da influÃncia de diversas medidas de similaridade na previsÃo de sÃries temporais utilizando o algoritmo KNN-TSP / Study of the influence of similarity measures in Time Series Prediction with the kNN-TSP algorithm
SÃries temporais podem ser entendidas como qualquer conjunto de observaÃÃes que se encontram ordenadas no tempo. Dentre as vÃrias tarefas possÃveis com dados temporais, uma que tem atraÃdo crescente interesse, devido a suas vÃrias aplicaÃÃes, Ã a previsÃo de sÃries temporais. O algoritmo k-Nearest Neighbor - Time Series Prediction (kNN-TSP) Ã um
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 11/04/2012
-
11. Cota de inundação e recorrência para a enseada do Itapocorói e praia de Morro dos Conventos, Santa Catarina
The goal of this study is to determine the inundation levels at Ensenada do Itapocorói and Morro dos Conventos beaches, located in Santa Catarina State. This was accomplished through the calculation of the inundation level as the sum of astronomical and meteorological tides and wave run-up. The database for this study included -60 years of hourly waves and
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 2012
-
12. Síntese automática de redes neurais artificiais com conexões à frente arbitrárias / Automatic synthesis of artificial neural networks with arbitrary feedforward connections
Esta tese apresenta duas metodologias de síntese automática de redes neurais artificiais com conexões à frente arbitrárias, com a proposição da arquitetura via computação evolutiva ou via um método construtivo, enquanto que os pesos sinápticos são definidos por técnicas de otimização não-linear. O processo de treinamento supervisionado visa p
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 07/12/2011