Interval prediction of wave energy characteristics using meta-cognitive interval type-2 fuzzy inference system
While significant efforts for online learning have been devoted to arrive at reliable predictions of crisp values, the problem of prediction interval (PI) in practical data is one of the underexplored areas in the existing literature. PI aims to produce upper and lower bound predictions which captur...
Main Authors: | Anh, Nguyen, Suresh, Sundaram, Pratama, Mahardhika, Srikanth, Narasimalu |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/151676 |
Similar Items
-
Wind speed intervals prediction using meta-cognitive approach
by: Anh, Nguyen, et al.
Published: (2019) -
Wave forecasting using meta-cognitive interval type-2 fuzzy inference system
by: Anh, Nguyen, et al.
Published: (2019) -
RIT2FIS : a recurrent interval type 2 Fuzzy Inference System and its rule base estimation
by: Samanta, Subhrajit, et al.
Published: (2019) -
Learning elastic memory online for fast time series forecasting
by: Samanta, Subhrajit, et al.
Published: (2022) -
Developing Constrained Interval Operators for Fuzzy Logic with Interval Values
by: Jocivania Pinheiro, et al.
Published: (2023-12-01)