Parameter estimation for a class of radial basis function-based nonlinear time-series models with moving average noises.
Yihong ZhouYanjiao WangFengying MaFeng DingTasawar HayatPublished in: J. Frankl. Inst. (2021)
Keyphrases
- parameter estimation
- moving average
- autoregressive
- radial basis function
- random fields
- model selection
- maximum likelihood
- rbf network
- least squares
- rbf neural network
- arima model
- markov random field
- em algorithm
- non stationary
- arma model
- ls svm
- expectation maximization
- support vector
- parameter estimation algorithm
- wavelet transform
- maximum entropy
- neural network
- support vector machine svm
- artificial neural networks
- exponential smoothing
- multiscale
- wavelet domain
- moving objects