Developing Stepwise m5 Tree Model to Determine the Influential Factors on Rainfall Prediction and to Overcome the Greedy Problem of its Algorithm
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DOI: 10.1007/s11269-022-03203-3
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References listed on IDEAS
- Ali Rahimikhoob, 2016. "Comparison of M5 Model Tree and Artificial Neural Network’s Methodologies in Modelling Daily Reference Evapotranspiration from NOAA Satellite Images," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(9), pages 3063-3075, July.
- Gabriel Gómez-Martínez & Miguel A. Pérez-Martín & Teodoro Estrela-Monreal & Patricia del-Amo, 2018. "North Atlantic Oscillation as a Cause of the Hydrological Changes in the Mediterranean (Júcar River, Spain)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(8), pages 2717-2734, June.
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Cited by:
- Mohammad Ehteram & Ali Najah Ahmed & Zohreh Sheikh Khozani & Ahmed El-Shafie, 2023. "Convolutional Neural Network -Support Vector Machine Model-Gaussian Process Regression: A New Machine Model for Predicting Monthly and Daily Rainfall," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(9), pages 3631-3655, July.
- Vanita Jain & Aarushi Dhingra & Eeshita Gupta & Ish Takkar & Rachna Jain & Sardar M. N. Islam, 2023. "Influence of Land Surface Temperature and Rainfall on Surface Water Change: An Innovative Machine Learning Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(8), pages 3013-3035, June.
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More about this item
Keywords
Greedy problem; Rainfall prediction; Stepwise M5 tree; Sunspot; Teleconnection;All these keywords.
JEL classification:
- M5 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics
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