Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8399776 | Oceanologia | 2018 | 16 Pages |
Abstract
The results of the FKNN model are compared with those of some soft computing techniques such as Bayesian networks (BNs), regression tree induction (named M5P), and support vector regression (SVR). The developed FKNN model is used for SWH prediction in the western part of Lake Superior in North America. The results show that the FKNN and M5P model can outperform the other soft computing techniques.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Oceanography
Authors
Mohammad Reza Nikoo, Reza Kerachian, Mohammad Reza Alizadeh,