| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4958106 | Computer Methods and Programs in Biomedicine | 2017 | 10 Pages |
Abstract
The results show the superiority of the proposed Type-2 neuro-fuzzy inference method over the Type-1 neuro-fuzzy inference and the polynomial networks methods, which is due to its capability to capture the nonlinearities of the model better.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Hajar Ahmadieh, Babak Mohammadzadeh Asl,