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 |
Language: | English |
Published: |
MDPI AG
2018
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/79681/1/ShamsuddinShahid2018_TheIntegrationofNatureInspiredAlgorithms.pdf http://eprints.utm.my/id/eprint/79681/ http://dx.doi.org/10.3390/w10091124 |
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