| Autor: |
Hossein MonirVaghefi, Mahdi Aliyari Shoorehdeli, Mohsen Rafiee Sandgani |
| Rok vydání: |
2013 |
| Předmět: |
|
| Zdroj: |
2013 13th Iranian Conference on Fuzzy Systems (IFSC). |
| DOI: |
10.1109/ifsc.2013.6675612 |
| Popis: |
In this study it is attempted to describe the structure and procedure of training for the Interval Type-2 Fuzzy Logic inference System completely. To achieve this goal Adaptive Network-based Fuzzy Inference System (ANFIS) structure has been generalized to interval type-2 fuzzy, also all of the relations to describe inference structure and all of the necessary differentiation to adjust parameters with Gradient descent and Levenberg-Marquardt method has been brought. Described structure has been used to forecast Mackey-Glass chaotic time-series that polluted with additive uncertain domain noise. Using mentioned procedure for parameters adjustment achieved acceptable results. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
