Data Mining in Climatology Data Series for Daily Rain Prediction using Artificial Intelligence and Statistic Methods

Autor: Pallu, Muhammad Saleh, Indrabayu
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Popis: The use of artificial intelligence (AI) and statistical methods for prediction based on data series have been widely used recently. In this paper both methods are implemented and compared in term of forecasting accuracy. The accuracy are measured in root mean square error (RMSE) and percentage of successful rainfall clustered to actual data. A hybrid AI i.e. Support Vector Machine and Fuzzy are combined for qualitative rainfall forecasting. A recommendation for sampling time and parameter used are also reviewed for better future forecast.
Databáze: OpenAIRE