The Experts below are selected from a list of 9195 Experts worldwide ranked by ideXlab platform
Wu Feng-huang - One of the best experts on this subject based on the ideXlab platform.
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Study on Farming Economic Forecasting Algorithm Based on Chaotic Theory and Neural Network
Computer Simulation, 2013Co-Authors: Wu Feng-huangAbstract:Study the problem of Economic Forecasting.Economic data are chaos,nonlinear time series,it is difficult using a linear Method to accurately describe the change rule.In order to improve Economic Forecasting precision,we proposed a nonlinear Economic Forecasting Method based on the chaos theory.The Economic time series data were analysed for chaos,phase space reconstruction,and revealing implicit data changes.Then the BP neural network was designed with Economic time series data,and the neural network parameters were optimized to improve the accuracy of the prediction.Simulation experimental results show that this algorithm can overcome the defects of traditional Methods,and is a comprehensive,accurate description of Economic time series variation.
Rebeca Albacete - One of the best experts on this subject based on the ideXlab platform.
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Considerations on Economic Forecasting: Method developed in the bulletin of EU and US inflation and macroEconomic analysis
2004Co-Authors: Antoni Espasa, Rebeca AlbaceteAbstract:This article presents Economic Forecasting as an activity acquiring full significance when it is involved in a decision-making process. The activity requires a sequence of functions consisting of gathering and organising data, the construction of econometric models and ongoing forecast evaluations to maintain a continuous process involving correction, perfecting and enlarging the data set and the econometric models used, systematically improving Forecasting accuracy. With this approach, Economic Forecasting is an activity based on econometric models and statistical Methods, applied Economic research with all its general problems. One of these is related to Economic data. The widespread belief that if Economic information is published, it is valid for
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considerations on Economic Forecasting Method developed in the bulletin of eu and us inflation and macroEconomic analysis
2004Co-Authors: Antoni Espasa, Rebeca AlbaceteAbstract:This article presents Economic Forecasting as an activity acquiring full significance when it is involved in a decision-making process. The activity requires a sequence of functions consisting of gathering and organising data, the construction of econometric models and ongoing forecast evaluations to maintain a continuous process involving correction, perfecting and enlarging the data set and the econometric models used, systematically improving Forecasting accuracy. With this approach, Economic Forecasting is an activity based on econometric models and statistical Methods, applied Economic research with all its general problems. One of these is related to Economic data. The widespread belief that if Economic information is published, it is valid for 1 This work is based on the macroEconomic Forecasting experience of the team led by Professor Espasa, obtained over the ten years that the Instituto Flores de Lemus, of the Universidad Carlos III in Madrid has been publishing the monthly Bulletin of EU and US Inflation and MacroEconomic Analysis. During this period, a large number of people have generously and innovatively been involved in the Bulletin. Some of them have directly contributed to the Methods currently employed. They are: Rebeca Albacete, Nicolas Carrasco, Cesar Castro, Jose Ramon Cancelo, Antonio Garre, Arsinoe Lamadriz, Fernando Lorenzo, Jose Manuel Martinez, Ivan Mayo, Roman Minguez, Israel Munoz, Lorena Saiz, Angel Sanchez, Eva Senra and Juan de Dios Tena. The director is deeply grateful to them all. The work done in the period was possible thanks to the Forecasting and MacroEconomic Analysis Chair financed by the Universidad Carlos III Foundation, currently held by the leading author. This article is part of project BEC2002-03720 financed by the Ministry of Science and Technology’s Directorate General for Research.
Antoni Espasa - One of the best experts on this subject based on the ideXlab platform.
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Considerations on Economic Forecasting: Method developed in the bulletin of EU and US inflation and macroEconomic analysis
2004Co-Authors: Antoni Espasa, Rebeca AlbaceteAbstract:This article presents Economic Forecasting as an activity acquiring full significance when it is involved in a decision-making process. The activity requires a sequence of functions consisting of gathering and organising data, the construction of econometric models and ongoing forecast evaluations to maintain a continuous process involving correction, perfecting and enlarging the data set and the econometric models used, systematically improving Forecasting accuracy. With this approach, Economic Forecasting is an activity based on econometric models and statistical Methods, applied Economic research with all its general problems. One of these is related to Economic data. The widespread belief that if Economic information is published, it is valid for
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considerations on Economic Forecasting Method developed in the bulletin of eu and us inflation and macroEconomic analysis
2004Co-Authors: Antoni Espasa, Rebeca AlbaceteAbstract:This article presents Economic Forecasting as an activity acquiring full significance when it is involved in a decision-making process. The activity requires a sequence of functions consisting of gathering and organising data, the construction of econometric models and ongoing forecast evaluations to maintain a continuous process involving correction, perfecting and enlarging the data set and the econometric models used, systematically improving Forecasting accuracy. With this approach, Economic Forecasting is an activity based on econometric models and statistical Methods, applied Economic research with all its general problems. One of these is related to Economic data. The widespread belief that if Economic information is published, it is valid for 1 This work is based on the macroEconomic Forecasting experience of the team led by Professor Espasa, obtained over the ten years that the Instituto Flores de Lemus, of the Universidad Carlos III in Madrid has been publishing the monthly Bulletin of EU and US Inflation and MacroEconomic Analysis. During this period, a large number of people have generously and innovatively been involved in the Bulletin. Some of them have directly contributed to the Methods currently employed. They are: Rebeca Albacete, Nicolas Carrasco, Cesar Castro, Jose Ramon Cancelo, Antonio Garre, Arsinoe Lamadriz, Fernando Lorenzo, Jose Manuel Martinez, Ivan Mayo, Roman Minguez, Israel Munoz, Lorena Saiz, Angel Sanchez, Eva Senra and Juan de Dios Tena. The director is deeply grateful to them all. The work done in the period was possible thanks to the Forecasting and MacroEconomic Analysis Chair financed by the Universidad Carlos III Foundation, currently held by the leading author. This article is part of project BEC2002-03720 financed by the Ministry of Science and Technology’s Directorate General for Research.
Ou Bang-cai - One of the best experts on this subject based on the ideXlab platform.
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Economic Forecasting Method Based on Back Propagation Neural Network
Journal of Nanjing Institute of Technology, 2004Co-Authors: Ou Bang-caiAbstract:In Economic analysis,a mathematical model using the Method of regression analysis is often constructed to fit an Economic system,thus it's likely to forecast relevant Economic variables.Aided by the ANN which is autoˉlearning,autoˉadapting and nonlinear,an evaluating index of Economic system is built.All Economic data is changed into region between0and1,and then sent into BP neural network receiving training.Parameters derived from the network can be used to forecast and test the Economic index.By doing so satisfying results can be expected.
Yijie Wang - One of the best experts on this subject based on the ideXlab platform.
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Medium- and Long-Term Predictions for Coastal Economies Based on Support Vector Regression
Journal of Coastal Research, 2019Co-Authors: Yijie WangAbstract:Wang, Y., 2019. Medium- and long-term predictions for coastal economies based on support vector regression. In: Li, L.; Wan, X., and Huang, X. (eds.), Recent Developments in Practices and Research on Coastal Regions: Transportation, Environment and Economy. Journal of Coastal Research, Special Issue No. 98, pp. 71–74. Coconut Creek (Florida), ISSN 0749-0208.In this article, we analyze the characteristics of coastal Economic development as well as the characteristics of mid- to long-term Economic forecasts, expound on the existing shortcomings of current Economic Forecasting Methods, and point out that, because of the high degree of nonlinearity, coupling, and time varying in the coastal Economic system, the existing Economic Forecasting Method is not competent. In addition, we analyze the support vector regression algorithm, and on that basis, put forward an idea for medium- and long-term predictions about the coastal economy based on support vector regression and establish a corresponding mathematical model. Jiangmen City, Guangdong Province, China, is used as an application object to show the validity of the model.
