A fully adaptive normalized nonlinear gradient descent algorithm for nonlinear system identification.
Igor R. KrcmarDanilo P. MandicPublished in: ICASSP (2001)
Keyphrases
- cost function
- objective function
- times faster
- high accuracy
- detection algorithm
- learning algorithm
- preprocessing
- np hard
- computational cost
- optimization algorithm
- matching algorithm
- k means
- segmentation algorithm
- similarity measure
- clustering method
- expectation maximization
- simulated annealing
- probabilistic model
- experimental evaluation
- multi objective
- computational complexity
- optimal solution
- loss function
- recursive least squares
- least mean square