Predictive Analysis of Monthly Flood Variables in the Palangkaraya Area Using Multiple Regression Methods and MLR, NN, KNN, Random Forest, SVM Algorithms
Author:
Affiliation:
1. Magister of Informatics Engineering Universitas Amikom Yogyakarta,Yogyakarta,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10455094/10454143/10455906.pdf?arnumber=10455906
Reference23 articles.
1. Development of climate zones for passive cooling techniques in the hot and humid climate of Indonesia
2. Independent ENSO and IOD impacts on rainfall extremes over Indonesia
3. Monthly Rainfall Prediction Using Various Machine Learning Algorithms for Early Warning of Landslide Occurrence
4. Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts
5. Machine learning techniques to predict daily rainfall amount
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