The integration of nature-inspired algorithms with Least Square Support Vector regression models: application to modeling river dissolved oxygen concentration

• Main Authors: Yaseen, Z. M., Ehteram, M., Sharafati, A., Shahid, S., Al-Ansari, N., El-Shafie, A.
• Format: Article
• Language: English
• Published: MDPI AG 2018
• Subjects: TA Engineering (General). Civil engineering (General)
• 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

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...