Complexity of precipitation forecasting has happened considered as an extreme research pertinence in recent times. Precipitation is intensely beneficial in asserting atmospheric balance. Rainfall is individual type of precipitation. Though overdone precipitation harms the earth in a sort of ways, it is judged as extremely valuable cause it is one of the essentialities for human endurance. As a result, wise utilisation of precipitation water should be projected to minimise the drought condition and flood happening in the country. Thus,a forecasting of rainfall more forms a major part in preparation things. This paper suggests a new hybrid model Moving average-kNN for achievement the indicator. Error measures Mean Absolute Percentage Error (MAPE), Root Mean Square Error (RMSE), and Mean Absolute Error (MAE) have been secondhand for the validity of the model.
Author(s) Details:
M. Mallika,
Sathyabama Institute of Science and Technology,
Chennai, India.
M.
Nirmala,
Sathyabama
Institute of Science and Technology, Chennai, India.
Please see the link here: https://stm.bookpi.org/FRAPS-V1/article/view/9972
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