1 citations · 1 across the 2 of their papers we have counts for
3 papers
q-bio.NC2026
The Neuromorphic Supremacy
Yuliya Tsybina, Ivan Y. Tyukin, Alexander N. Gorban +3
Live neural systems demonstrate remarkable capabilities to learn new behavior and patterns from mere few examples and are known to operate robustly under severe sensory noise. Thes…
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…