In system identification, interval (and fuzzy) estimates can lead to much better accuracy than the traditional statistical ones: General algorithm and case study.
Sergey I. KumkovVladik KreinovichAndrzej PownukPublished in: SMC (2017)
Keyphrases
- case study
- high accuracy
- computational complexity
- learning algorithm
- computational efficiency
- cost function
- computational cost
- experimental evaluation
- times faster
- detection algorithm
- confidence bounds
- accuracy rate
- optimization algorithm
- worst case
- np hard
- control system
- preprocessing
- input output
- matching algorithm
- dynamic programming
- computationally efficient
- segmentation algorithm
- significant improvement
- linear programming
- simulated annealing
- k means
- special case
- convergence rate
- objective function
- goodness of fit
- similarity measure