Generalized multiscale radial basis function networks
From MaRDI portal
Publication:1931962
DOI10.1016/j.neunet.2007.09.017zbMath1254.68197OpenAlexW2068458829WikidataQ46907393 ScholiaQ46907393MaRDI QIDQ1931962
Stephen A. Billings, Michael A. Balikhin, Hua-Liang Wei
Publication date: 17 January 2013
Published in: Neural Networks (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.neunet.2007.09.017
neural networksradial basis functionsnonlinear system identificationorthogonal least squaresmodel term selection
Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20)
Related Items (9)
RBF neural network based on \(q\)-Gaussian function in function approximation ⋮ Robust sequential learning of feedforward neural networks in the presence of heavy-tailed noise ⋮ Neural network-based parametric system identification: a review ⋮ Evolutionary \(q\)-Gaussian radial basis function neural networks for multiclassification ⋮ A growing and pruning sequential learning algorithm of hyper basis function neural network for function approximation ⋮ A linear recurrent kernel online learning algorithm with sparse updates ⋮ Novel weighting in single hidden layer feedforward neural networks for data classification ⋮ Improved model identification for non-linear systems using a random subsampling and multifold modelling (RSMM) approach ⋮ Identification of nonlinear time-varying systems using an online sliding-window and common model structure selection (CMSS) approach with applications to EEG
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks
- A Criterion for Determining the Number of Groups in a Data Set Using Sum-of-Squares Clustering
- Practical identification of NARMAX models using radial basis functions
- Input-output parametric models for non-linear systems Part I: deterministic non-linear systems
- Orthogonal parameter estimation algorithm for non-linear stochastic systems
- An Algorithm for Least-Squares Estimation of Nonlinear Parameters
- Ten Lectures on Wavelets
- Neural networks for nonlinear dynamic system modelling and identification
- Orthogonal least squares methods and their application to non-linear system identification
- Neural network-based variable structure control for nonlinear discrete systems
- Identification and reconstruction of chaotic systems using multiresolution wavelet decompositions
- Identification of MIMO non-linear systems using a forward-regression orthogonal estimator
- Experimental design and model construction algorithms for radial basis function networks
- A method for the solution of certain non-linear problems in least squares
This page was built for publication: Generalized multiscale radial basis function networks