Weather forecasting
An Implementation of Data Mining Technique for Weather Forecasting
... exact weather data displaying and prediction utilizing the authentic ...in weather prediction is to achieve the relationship among the class names and the properties which are utilized for foreseeing the ...
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Weather forecasting based on hybrid neural model
... for weather forecasting using different machine learning techniques and statistical models (Saba et ...for weather forecasting. However, short-term weather forecasting results ...
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Weather Forecasting using Soft Computing and Statistical Techniques
... level, weather forecasting is usually done using the data gathered by remote sensing ...satellites. Weather parameters like maximum temperature, minimum temperature, extent of rainfall, cloud, ...
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A scale-dependent blending scheme for WRFDA: impact on regional weather forecasting
... Figure 3a shows the averaged geopotential height differ- ence between WRF 6 h forecast and the ECMWF (European Center for Medium range Weather Forecasting) reanalysis 1 (Dee et al., 2011) from 18:00 UTC on ...
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Weather Forecasting using R
... In this project, we are using the public data and mining the useful pattern so as to get the appropriate results at the end. R programming is a language for statistical computing and can be used to graphically display ...
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Calibrating Weather Forecasting in Indonesia: The Geostatistical Output Perturbation Method
... This study proposes a GOP model for analyzing the spatial relation in eight stations for the purpose of obtaining better accuracy and precision of weather forecasting and to investigate the underlying ...
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Long-Short Term Memory for an Effective Short-Term Weather Forecasting Model Using Surface Weather Data
... Numerical Weather Prediction (NWP) requires considerable computer power to solve complex mathematical equations to obtain a forecast based on current weather ...data-driven weather forecasting ...
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A study on soft computing approach in weather forecasting
... in weather forecasting which is empirical or dynamical approach (Lorenz, ...local-scale weather if recorded cases are ...large-scale weather phenomena and may not predict short-term ...
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Optimization of DBSCALE Clustering Algorithm for Weather Forecasting
... This algorithm provides efficient working of data clustering with expansion of seed point efficiently. The working principal of this algorithm reduces eight Marked Boundary Objects, which resultant into coverage ...
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Suitability of neural network for weather forecasting: a comprehensive literature review
... in weather after some period of time or the effect on other parameters of weather with respect to any one ...a weather forecast system. In this paper, BPN is used for forecasting the ...
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Enhance the performance of weather parameters in Short-Term Weather forecasting using ANFIS
... Today, weather forecasts are made by collecting quantitative data about the current state of the atmosphere and using scientific understanding of atmospheric processes to project how the atmosphere will ...
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Model error in weather forecasting
... It is often said that model error is hard to measure in the context of weather forecasting. Such a statement already as- sumes that the error is small; for if model error is large, it should not be beyond ...
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Advanced Weather Forecasting Prediction using Deep Learning
... Abstract: Weather forecasting has a pivotal role in everyday life, including worldwide agricultural and industrial sectors as these things are based on the weather ...Besides forecasting it is ...
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Weather forecasting using raspberry Pi with internet of things (IOT)
... the weather forecasting prototype system developed for particular ...the weather monitoring and forecasting the data to the server which could be viewed and used for the periodical statistical ...
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Artificial Intelligence Using for Weather Forecasting
... Weather forecasting is very a statistical measure than a binary ...intelligent weather predicting module since this has become a necessary ...day’s weather with smart ...the weather ...
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A Study on Weather Forecasting using Machine Learning in Big Data
... However Weather forecasting has traditionally been done by physical models of the atmosphere, which are unstable to perturbations, and thus are inaccurate for large periods of ...to weather ...
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Performance of Clustering on ANFIS for Weather Forecasting
... Abstract —This paper proposes the comparison of using K-Means and Fuzzy C-Means (FCM) to optimize the premise parameters on Adaptive Neuro-Fuzzy Inference System (ANFIS) for weather forecasting. The ANFIS ...
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Novel solar sail mission concepts for Space weather forecasting
... space weather forecasting have been presented: heliocen- tric Earth-following orbits and Sun-Earth line confined solar sail ...space weather events compared to an inertially fixed Kep- lerian ...
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WEATHER FORECASTING USING SOFT COMPUTING TECHNIQUES
... Weather forecasting is the application of science and technology to predict the state of the atmosphere for a future time at a given ...to weather prediction ...
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Probabilistic weather forecasting for dynamic line rating studies
... The orders of the AR and VAR models and the lengths of sliding training window used to model diurnal trends and estimate AR and VAR parameters, are determined through comparing the root mean square errors (RMSEs) of ...
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