所蔵: Binary Coati Optimization Algorithm- Multi- Kernel Least Square Support Vector Machine-Extreme Learning Machine Model (BCOA-MKLSSVM-ELM): A New Hybrid Machine Learning Model for Predicting Reservoir Water Level

Binary Coati Optimization Algorithm- Multi- Kernel Least Square Support Vector Machine-Extreme Learning Machine Model (BCOA-MKLSSVM-ELM): A New Hybrid Machine Learning Model for Predicting Reservoir Water Level

Predicting reservoir water levels helps manage droughts and floods. Predicting reservoir water level is complex because it depends on factors such as climate parameters and human intervention. Therefore, predicting water level needs robust models. Our study introduces a new model for predicting rese...

詳細記述

保存先:

書誌詳細
主要な著者:	Sammen S.S., Ehteram M., Sheikh Khozani Z., Sidek L.M.
その他の著者:	57192093108
フォーマット:	論文
出版事項:	MDPI 2024
主題:	hybrid models hydrological simulations optimization algorithms water level Malaysia Forecasting Knowledge acquisition Learning algorithms Learning systems Machine components Optimization Radial basis function networks Reservoirs (water) Support vector machines Time series Vectors Hybrid model Hydrological simulations Kernel function Learning machines Least square support vector machines Machine modelling Multi-kernel Optimization algorithms Reservoir water level Support vector machine models algorithm hydrological modeling machine learning optimization rainfall reservoir support vector machine Water levels
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

Binary Coati Optimization Algorithm- Multi- Kernel Least Square Support Vector Machine-Extreme Learning Machine Model (BCOA-MKLSSVM-ELM): A New Hybrid Machine Learning Model for Predicting Reservoir Water Level

類似資料