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Journal > International Journal of Advances in Intelligent Informatics > Wavelet discrete transform, ANFIS and linear regression for short-term time series prediction of air temperature

 

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International Journal of Advances in Intelligent Informatics
Vol 3, No 2 (2017): July 2017
Wavelet discrete transform, ANFIS and linear regression for short-term time series prediction of air temperature
Article Info   ABSTRACT
Published date:
31 Jul 2017
 
This paper investigates the ability of Discrete Wavelet Transform and Adaptive Network-Based Fuzzy Inference System in time-series data modeling of weather parameters. Plotting predicted data results on Linear Regression is used as the baseline of the statistical model. Data were tested in every 10 minutes interval on weather station of Bungus port in Padang, Indonesia. Mean absolute errors (MAE), the coefficient of determination (R2), Pearson correlation coefficient (r) and root mean squared error (RMSE) are used as performance indicators. The result of Plotting ANFIS data against linear regression using 1-input data is the optimal values combination of output predictions.
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