การศึกษาวิธีการเลือกค่าลักษณะสำคัญสำหรับการพยากรณ์ปริมาณน้ำในลุ่มน้ำเพชรบุรี / สิริวัฒน์ หญีตสอน = A study on feature selection methods for predicting daily discharge in phetchaburi basin / Siriwat Yeetsorn
Discharge prediction is an essential component in water management systems. To obtain an accurate prediction model, we need a good preprocessing method for extracting actually important features of the discharge data. Thus, we propose a new combinational method which integrates Correlation Coefficient Analysis and Wavelet Decomposition. The processed discharge data from both methods are then used as input for two classification methods, namely Backpropagation Neural Networks and Multiple Linear Regression. In our experiment, we tested our method based on the real world data from the Phetchaburi river basin, Thailand. The obtained model achieved lower error rate than ones from other existing methods.
