The Integration of Nature-Inspired Algorithms with Least Square Support Vector Regression Models: Application to Modeling River Dissolved Oxygen Concentration
The current study investigates an improved version of Least Square Support Vector Machines integrated with a Bat Algorithm (LSSVM-BA) for modeling the dissolved oxygen (DO) concentration in rivers. The LSSVM-BA model results are compared with those obtained using M5 Tree and Multivariate Adaptive Re...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
MDPI
2018
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/20306/ https://doi.org/10.3390/w10091124 |
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