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
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…