Algorithms for recursive/semi-recursive bias-compensating least squares system identification within the errors-in-variables framework.
Jens G. LindenTomasz LarkowskiKeith J. BurnhamPublished in: Int. J. Control (2012)
Keyphrases
- least squares
- learning algorithm
- machine learning algorithms
- computational cost
- times faster
- theoretical analysis
- worst case
- error minimization
- data mining algorithms
- main contribution
- computationally efficient
- neural network
- multi class
- significant improvement
- computational complexity
- search algorithm
- recurrent neural networks
- recursive algorithm
- machine learning