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Rainfall Prediction

A Machine Learning Approach for Annual Rainfall Prediction Using 		Linear Regression Model

A Machine Learning Approach for Annual Rainfall Prediction Using Linear Regression Model

... “Annual Rainfall Prediction” represents a mathematical method called Linear Regression to predict the rainfall in various states in ...annual rainfall using different atmospheric parameters ...

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Design of Neural Network models for Daily Rainfall Prediction

Design of Neural Network models for Daily Rainfall Prediction

... and prediction of rainfall requires consistent as well as relevant information of meteorological and environmental ...daily rainfall prediction on the basis of the preceding events of ...

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A New Approach for Rainfall Prediction using  Artificial Neural Network

A New Approach for Rainfall Prediction using Artificial Neural Network

... environment, Rainfall is one of the key ...of rainfall forecast data is to endorsement water resources management specifically which is concerned to be change the global climate in different tropical ...

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Comparative Analysis of Data Mining Techniques for Malaysian Rainfall Prediction

Comparative Analysis of Data Mining Techniques for Malaysian Rainfall Prediction

... Comparing these five techniques performances for rainfall prediction, Decision Tree, and Random Forest are the top performers. This is supported by the fact that although these models were trained on a low ...

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Fuzzy Logic as a Tool for Rainfall Prediction: A Case Study

Fuzzy Logic as a Tool for Rainfall Prediction: A Case Study

... Rainfall forecasting is one of the most important task which carried out by meteorological services worldwide. It is a complicated procedure as it includes numerous specialized technological fields. The task is ...

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Doppler Radar Data Assimilation for Mesoscale Numerical Rainfall Prediction

Doppler Radar Data Assimilation for Mesoscale Numerical Rainfall Prediction

... Hydrological prediction needs high-resolution and accurate rainfall information, which can be provided by mesoscale Numerical Weather Prediction (NWP) ...predicted rainfall is not always ...

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A Survey on Rainfall Prediction using Artificial Neural Network

A Survey on Rainfall Prediction using Artificial Neural Network

... improving prediction quality further ...two rainfall prediction models ...for prediction of monthly rainfall on accounts of the preceding events of rainfall ...the ...

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Rainfall Prediction using Gaussian Process Regression Classifier

Rainfall Prediction using Gaussian Process Regression Classifier

... Quantitative Rainfall Prediction, World Academy of Science, Engineering and Technology International Journal of Marine and Environmental Sciences Vol:12, No:2, ...

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Rainfall prediction using Machine Learning Techniques

Rainfall prediction using Machine Learning Techniques

... Shoba G. and Shobha G [1] analyzed various algorithms such as Adaptive Neuro-Fuzzy Inference System (ANFIS), ARIMA and SLIQ Decision for the forecast of rainfall. R.Sangari and M.Balamurugan [3] related data ...

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Rainfall Prediction using Data Mining Techniques

Rainfall Prediction using Data Mining Techniques

... for rainfall prediction downloaded from official website of National Oceanic and Atmospheric Administration (NOAA) maintained by US Department of ...weather prediction (NWP) model output dating back ...

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Estimating Rainfall Prediction Using Machine Learning Techniques On A Dataset

Estimating Rainfall Prediction Using Machine Learning Techniques On A Dataset

... The prediction of rainfall is regarded as very significant in everyday life, from cultivation to ...Previous prediction of rainfall was using the complex combination of mathematical ...

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Ascertaining Time Series Predictability in Process Control: Case Study on Rainfall Prediction

Ascertaining Time Series Predictability in Process Control: Case Study on Rainfall Prediction

... robust rainfall prediction model continue to remain a ...a rainfall series is predictable or not before attempting prediction by using the knowledge of the memory effect of the time series ...

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Rainfall Prediction using Neural Net based Frequency Analysis Approach

Rainfall Prediction using Neural Net based Frequency Analysis Approach

... monsoon rainfall. Monsoon is the main source of water. Average rainfall prediction is a prime important factor for crop ...of rainfall during June to ...for rainfall forecasting. ...

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A Study & Survey on Rainfall Prediction And Production of Crops Using Data Mining Techniques

A Study & Survey on Rainfall Prediction And Production of Crops Using Data Mining Techniques

... conditions. Prediction of rainfall is important in a range of ...of rainfall is necessary for many choice makers who are touchy to the occurrence of ...quantitative rainfall prediction ...

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DEVELOPMENT AND COMPARISON OF HYBRID RAINFALL PREDICTION MODEL

DEVELOPMENT AND COMPARISON OF HYBRID RAINFALL PREDICTION MODEL

... Rainfall prediction is very essential for every country because it decides each country ...for rainfall prediction for short and medium range forecasting; and statistical approach using neural ...

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Rainfall Prediction based on Ensemble Model

Rainfall Prediction based on Ensemble Model

... period. Rainfall prediction can be precisely made with time series ...the rainfall data sets obtained over a long period of ...the prediction of ...Series, Rainfall Prediction, ...

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A Regenerative Prediction Algorithm for Indian Rainfall Prediction

A Regenerative Prediction Algorithm for Indian Rainfall Prediction

... for rainfall prediction. The whole India rainfall is obtained as the area-weighted mean of sub divisional rainfall and is available on the website of Indian Institute of Tropical Meteorology, ...

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Rainfall Prediction using Bpnn

Rainfall Prediction using Bpnn

... Rainfall Prediction using Bpnn M Krishna, S Mohanbabu Chowdary, Bandlamudi S B P Rani, Sanjeevi P Abstract—Gauge of precipitation and ground water of an express area will assist water a[r] ...

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Machine Learning Prediction Model for Rainfall Prediction: A Review

Machine Learning Prediction Model for Rainfall Prediction: A Review

... The performance of both the models has been assessed based on Regression Analysis, Mean Square Error (MSE) and Magnitude of Relative Error (MRE). Proposed ANN model showed optimistic results for both the models for ...

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A study on WRF radar data assimilation for hydrological rainfall prediction

A study on WRF radar data assimilation for hydrological rainfall prediction

... some rainfall features, e.g. the rainfall timing, location and evolution; however in producing the accurate rainfall quantities, the results are still not ideal (Chang et ...catchment-scale ...

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