Prediction Combining
Mostrando 13-24 de 57 artigos, teses e dissertações.
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13. Growth characteristics modeling of Bifidobacterium bifidum using RSM and ANN
The aim of this work was to optimize the biomass production by Bifidobacterium bifidum 255 using the response surface methodology (RSM) and artificial neural network (ANN) both coupled with GA. To develop the empirical model for the yield of probiotic bacteria, additional carbon and nitrogen content, inoculum size, age, temperature and pH were selected as th
Brazilian Archives of Biology and Technology. Publicado em: 2011-12
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14. Panorametry : suggestion of a method for mandibular measurements on panoramic radiographs
Background: Orthopantomography (panoramic radiography) has been used for the study of measurements involving particularly the prediction of the eruption of impacted lower third molars and analyses of measurements of the ramus and head of mandible. The discrepancies involved with the projection of this radiographic image has stimulated the search for further
Publicado em: 2010
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15. Detecção de distúrbios solar-interplanetários combinando observações de satélite e de raios cósmicos de superfície para aplicação em clima espacial / Solar-interplanetary disturbances detection combining satellite and ground cosmic rays observations for space weather aplication
Nesta tese é mostrada que a nova metodologia proposta para a análise dos dados da Rede de Muons, em operação desde 2001, passando a chamar-se Rede Global de Detectores de Muons (Global Muon Detector Network) - GMDN após 2006, pode ser uma importante ferramenta para a previsão de estruturas solares que causam tempestades geomagnéticas. Para isto foram
Publicado em: 2009
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16. Solar-interplanetary disturbances detection combining satellite and ground cosmic rays observations for space weather aplication / Detecção de distúrbios solar-interplanetários combinando observações de satélite e de raios cósmicos de superfície para aplicação em clima espacial
Nesta tese é mostrada que a nova metodologia proposta para a análise dos dados da Rede de Muons, em operação desde 2001, passando a chamar-se Rede Global de Detectores de Muons (Global Muon Detector Network) - GMDN após 2006, pode ser uma importante ferramenta para a previsão de estruturas solares que causam tempestades geomagnéticas. Para isto foram
Publicado em: 2009
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17. Studies about personalization of the head-related transfer function in binaural virtual auditory displays. / Estudos sobre personalização da função de transferência relativa à cabeça em sistemas biaurais de reprodução acústica virtual.
This work presents several proposals associated with the optimal use of head-related transfer functions (HRTF) in virtual auditory spaces presented via headphones. These proposals lead to personalization of the HRTF to particular individuals, using a combination of the structural and morphological modeling techniques. In the context of structural modeling, t
Publicado em: 2006
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18. Desenvolvimento de um modelo de predição de condições operacionais de altos-fornos siderugicos com base em redes neurais artificiais / Development of a prediction model for ironmaking blast furnace operational conditions based on artificial neural networks
This work describes the development of a model capable of evaluating and predicting iron ore reduction process in blast-furnaces based on raw materiais characteristics as well as burden and blast composition. It provides a planning and analysing toll to operators and process engineers. The motivation for this development resides on the lack of this kind of m
Publicado em: 2006
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19. Choices and pitfalls concerning mixture-of-experts modeling.
Researchers of different fields often need to learn and represent phenomena through relationships between variables and use them to predict the phenomena behavior under uncertain conditions. However, choosing the "best" model in a modeling exercise is always an arduous task, yet because of the various uncertainties associated with the modeling process.A way
Publicado em: 2005
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20. EstratÃgias de prediÃÃo de cruzamentos nÃo realizados em anÃlise dialÃlica, utilizando informaÃÃes de marcadores moleculares. / Alternatives for predicting effects of missing crosses in diallels, with information from molecular markers.
Diallel crosses are largely used by breeders to assist choosing parents and/or populations. One constraint of such designs is the effort required to obtain crosses, the amount of which grows exponentially as the number of parents increases. This work aimed at evaluation some approaches to predict effects of missing crosses in diallel analysis, comprising 120
Publicado em: 2004
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21. Analysis of models of secular series for the monthly forecast of the income tax / AnÃlise de modelos de sÃries temporais para a previsÃo mensal do imposto de renda
The main objective of this work was to generate predictions, at a monthly frequency, from 1990 to 2001, of income tax revenue. The methodology used was the one of forecast combining. Specifically, exponential smoothing, an ARIMA and VAR with error correction models were pooled to obtain final prediction. Ex-post forecast errors were used to test the performa
Publicado em: 2003
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22. SISTEMA DE PREVISÃO DE CARGA SEMANAL / A SYSTEM TO FORECAST WEEKLY LOAD ELECTRICITY DATA
The goal of this dissertation is to present a quantitative study in time series of weekly electrical charge demand at the southeast region, particulary at Rio de Janeiro and São Paulo. In this work will be analysed the last 7 years, from january 1991 to november of 1997. The next time series were study: LIGHT, CERJ, CESP, CPFL and ELETROPAULO. Aimming to te
Publicado em: 1998
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23. Computational Gene Prediction Using Multiple Sources of Evidence
This article describes a computational method to construct gene models by using evidence generated from a diverse set of sources, including those typical of a genome annotation pipeline. The program, called Combiner, takes as input a genomic sequence and the locations of gene predictions from ab initio gene finders, protein sequence alignments, expressed seq
Cold Spring Harbor Laboratory Press.
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24. ConPred II: a consensus prediction method for obtaining transmembrane topology models with high reliability
ConPred II (http://bioinfo.si.hirosaki-u.ac.jp/~ConPred2/) is a server for the prediction of transmembrane (TM) topology [i.e. the number of TM segments (TMSs), TMS positions and N-tail location] based on a consensus approach by combining the results of several proposed methods. The ConPred II system is constructed from ConPred_elite and ConPred_all (previou
Oxford University Press.