More effective time-series analysis and forecasting
نویسندگان
چکیده
منابع مشابه
Statistical Analysis and Modeling (Forecasting) of the Temperature Time Series of Ahvaz Metropolis
Forecasting of temperature and precipitation can be efficiently used in decision making and optimal use of water resources. Studies in Iran have indicated a significant increase in annual temperature. This issue should be further researched in the Ahvaz region because it is the population hub in the southwest of Iran and the pole of irrigation networks and traditional agricultural land ...
متن کاملStochastic Monthly Rainfall Time Series Analysis, Modeling and Forecasting ( A cas study: Ardebilcity
Rainfall is the main source of the available water for human. Predicting the amount of the future rainfall is useful for informed policies, planning and decision making that will help potentially make optimal and sustainable use of available water resources. The main aim of this study was to investigate the trend and forecast monthly rainfall of selected synoptic station in Ardabil province usi...
متن کاملTime Series Forecasting Using Independent Component Analysis
The paper presents a method for multivariate time series forecasting using Independent Component Analysis (ICA), as a preprocessing tool. The idea of this approach is to do the forecasting in the space of independent components (sources), and then to transform back the results to the original time series space. The forecasting can be done separately and with a different method for each componen...
متن کاملTime Series Analysis of Forecasting Indian Rainfall
This paper presents a study of neural network model for prediction of Indian rainfall. The purpose of this paper is to evaluate the applicability of ANN. In this paper the performance of different networks have been evaluated and tested.The multilayered artificial neural network with learning by backpropagation algorithm is used .The paper implements weather prediction by building training and ...
متن کاملTime-series Scenario Forecasting
Many applications require the ability to judge uncertainty of time-series forecasts. Uncertainty is often specified as point-wise error bars around a mean or median forecast. Due to temporal dependencies, such a method obscures some information. We would ideally have a way to query the posterior probability of the entire time-series given the predictive variables, or at a minimum, be able to dr...
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ژورنال
عنوان ژورنال: Journal of Computational and Applied Mathematics
سال: 1995
ISSN: 0377-0427
DOI: 10.1016/0377-0427(95)00011-9