Soft Sensing Modeling Based on Support Vector Regression and Self-Organizing Maps Model Selection for Water Quality Monitoring
Author:
Affiliation:
1. University of M’Sila,LGE Laboratory,Algeria
2. University of M’Sila,LASS Laboratory,Algeria
3. University of Mostaganem,ECP3M Laboratory,Algeria
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10093233/10093088/10093103.pdf?arnumber=10093103
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1. Short-term rainfall forecasting using machine learning-based approaches of PSO-SVR, LSTM and CNN
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3. Integration of continuous restricted Boltzmann machine and SVR in NOx emissions prediction of a tangential firing boiler
4. Semiautomated geologic mapping using self-organizing maps and airborne geophysics in the Brazilian Amazon
5. Self-Organizing Maps-Based Features Selection with Deep LSTM and SVM Classification Approaches for Advanced Water Quality Monitoring;khelil;Intelligent Systems Engineering J,2022
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