1 citations · 1 across the 1 of their papers we have counts for
2 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.AI2024
Deeper Insights into Learning Performance of Stochastic Configuration Networks
Xiufeng Yan, Dianhui Wang
Stochastic Configuration Networks (SCNs) are a class of randomized neural networks that integrate randomized algorithms within an incremental learning framework. A defining feature…