(Research Center for Informatics – Indonesian Institute of Sciences, Indonesia)*corresponding author
AbstractThis 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.
KeywordsDiscrete Wavelet Transform; Linear Regression; ANFIS; Sub-Time Series Data; Plotting data
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DOIhttps://doi.org/10.26555/ijain.v3i2.101 |
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