research
∙
08/25/2023
Stochastic Configuration Machines for Industrial Artificial Intelligence
Real-time predictive modelling with desired accuracy is highly expected ...
share
research
∙
09/06/2018
Two Dimensional Stochastic Configuration Networks for Image Data Analytics
Stochastic configuration networks (SCNs) as a class of randomized learne...
research
∙
08/07/2018
Deep Stacked Stochastic Configuration Networks for Non-Stationary Data Streams
The concept of stochastic configuration networks (SCNs) others a solid f...
research
∙
04/23/2018
Randomized Mixture Models for Probability Density Approximation and Estimation
Randomized neural networks (NNs) are an interesting alternative to conve...
research
∙
07/02/2017
Stochastic Configuration Networks Ensemble for Large-Scale Data Analytics
This paper presents a fast decorrelated neuro-ensemble with heterogeneou...
research
∙
02/18/2017
Deep Stochastic Configuration Networks with Universal Approximation Property
This paper develops a randomized approach for incrementally building dee...
research
∙
02/15/2017
Robust Stochastic Configuration Networks with Kernel Density Estimation
Neural networks have been widely used as predictive models to fit data d...
research
∙
02/10/2017