Appraisal of Hydrological Components using Soft Computing Techniques
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Appraisal of Hydrological Components using Soft Computing Techniques
Sihag, Parveen; Kumar, Vinod
Elsevier - Health Sciences Division
02/2029
300
Mole
Inglês
9780323912167
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1. Introduction of hydrological cycle
2. Machine Learning and soft computing based techniques
3. Hydrological data and processes
4. Precipitation estimation
5. Stream flow modeling using M5P and multivariate adaptive regression splines (MARS)
6. Prediction of Drought using Gene Expression Programming(GEP) and artificial neural network
7. Evapotranspiration modeling using Random Forest, Random Tree and M5P
8. Humidity modelling using pruned, unpruned and bagged approach based M5P
9. Wind speed estimation using tree based techniques
10. Soil temperature prediction using artificial neural network and adaptive neuro fuzzy inference system
11. Estimation of Infiltration of soil using multivariate adaptive regression splines (MARS) and Group method of data handling (GMDH)
12. Ensemble and Hybrid Models for Hydrological Cycles
2. Machine Learning and soft computing based techniques
3. Hydrological data and processes
4. Precipitation estimation
5. Stream flow modeling using M5P and multivariate adaptive regression splines (MARS)
6. Prediction of Drought using Gene Expression Programming(GEP) and artificial neural network
7. Evapotranspiration modeling using Random Forest, Random Tree and M5P
8. Humidity modelling using pruned, unpruned and bagged approach based M5P
9. Wind speed estimation using tree based techniques
10. Soil temperature prediction using artificial neural network and adaptive neuro fuzzy inference system
11. Estimation of Infiltration of soil using multivariate adaptive regression splines (MARS) and Group method of data handling (GMDH)
12. Ensemble and Hybrid Models for Hydrological Cycles
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Precipitation; Evapotranspiration; Infiltration; Snowfall; Groundwater; Stream
1. Introduction of hydrological cycle
2. Machine Learning and soft computing based techniques
3. Hydrological data and processes
4. Precipitation estimation
5. Stream flow modeling using M5P and multivariate adaptive regression splines (MARS)
6. Prediction of Drought using Gene Expression Programming(GEP) and artificial neural network
7. Evapotranspiration modeling using Random Forest, Random Tree and M5P
8. Humidity modelling using pruned, unpruned and bagged approach based M5P
9. Wind speed estimation using tree based techniques
10. Soil temperature prediction using artificial neural network and adaptive neuro fuzzy inference system
11. Estimation of Infiltration of soil using multivariate adaptive regression splines (MARS) and Group method of data handling (GMDH)
12. Ensemble and Hybrid Models for Hydrological Cycles
2. Machine Learning and soft computing based techniques
3. Hydrological data and processes
4. Precipitation estimation
5. Stream flow modeling using M5P and multivariate adaptive regression splines (MARS)
6. Prediction of Drought using Gene Expression Programming(GEP) and artificial neural network
7. Evapotranspiration modeling using Random Forest, Random Tree and M5P
8. Humidity modelling using pruned, unpruned and bagged approach based M5P
9. Wind speed estimation using tree based techniques
10. Soil temperature prediction using artificial neural network and adaptive neuro fuzzy inference system
11. Estimation of Infiltration of soil using multivariate adaptive regression splines (MARS) and Group method of data handling (GMDH)
12. Ensemble and Hybrid Models for Hydrological Cycles
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
