Improvement of grey wolf optimizer with adaptive middle filter to adjust support vector machine parameters to predict diabetes complications.
Fereshteh JeyafzamBabak VaziriMohsen Yaghoubi SurakiAli Asghar Rahmani HosseinabadiAdam SlowikPublished in: Neural Comput. Appl. (2021)
Keyphrases
- support vector machine
- high risk
- filter coefficients
- multi class
- maximum likelihood
- expectation maximization
- parameter estimation
- health care
- parameter values
- noise cancellation
- adaptive filter
- moving average
- adaptive algorithms
- optimal parameter values
- support vector
- dynamically adjust
- frequency response
- adaptive filtering
- parameter selection
- median filter
- autoregressive
- parameter settings