729 citations · 871 across the 7 of their papers we have counts for
4 papers · 1 filter
Two Dimensional Stochastic Configuration Networks for Image Data Analytics
Ming Li, Dianhui Wang
Stochastic configuration networks (SCNs) as a class of randomized learner model have been successfully employed in data analytics due to its universal approximation capability and…
Deep Stacked Stochastic Configuration Networks for Lifelong Learning of Non-Stationary Data Streams
Mahardhika Pratama, Dianhui Wang
The concept of SCN offers a fast framework with universal approximation guarantee for lifelong learning of non-stationary data streams. Its adaptive scope selection property enable…
Stochastic Configuration Networks Ensemble for Large-Scale Data Analytics
Dianhui Wang, Caihao Cui
This paper presents a fast decorrelated neuro-ensemble with heterogeneous features for large-scale data analytics, where stochastic configuration networks (SCNs) are employed as ba…
Deep Stochastic Configuration Networks with Universal Approximation Property
Dianhui Wang, Ming Li
This paper develops a randomized approach for incrementally building deep neural networks, where a supervisory mechanism is proposed to constrain the random assignment of the weigh…