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...
保存先:
| 主要な著者: | , , , , , |
|---|---|
| フォーマット: | 論文 |
| 出版事項: |
MDPI
2018
|
| 主題: | |
| オンライン･アクセス: | http://eprints.um.edu.my/20306/ https://doi.org/10.3390/w10091124 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|