1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 1 cited
Kernel Stochastic Configuration Networks for Nonlinear Regression
Yongxuan Chen, Dianhui Wang
Stochastic configuration networks (SCNs), as a class of randomized learner models, are featured by its way of random parameters assignment in the light of a supervisory mechanism,…
cs.LG2024
Recurrent Stochastic Configuration Networks with Hybrid Regularization for Nonlinear Dynamics Modelling
Gang Dang, Dianhui Wang
Recurrent stochastic configuration networks (RSCNs) have shown great potential in modelling nonlinear dynamic systems with uncertainties. This paper presents an RSCN with hybrid re…
cs.LG2024
Fuzzy Recurrent Stochastic Configuration Networks for Industrial Data Analytics
Dianhui Wang, Gang Dang
This paper presents a novel neuro-fuzzy model, termed fuzzy recurrent stochastic configuration networks (F-RSCNs), for industrial data analytics. Unlike the original recurrent stoc…