Pages that link to "Item:Q1749195"
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The following pages link to A probabilistic learning algorithm for robust modeling using neural networks with random weights (Q1749195):
Displaying 10 items.
- Robust stochastic configuration networks with kernel density estimation for uncertain data regression (Q778389) (← links)
- Robust sequential learning of feedforward neural networks in the presence of heavy-tailed noise (Q889372) (← links)
- An iterative learning algorithm for feedforward neural networks with random weights (Q1750519) (← links)
- Design of stabilized polynomial-based ensemble fuzzy neural networks based on heterogeneous neurons and synergy of multiple techniques (Q2053872) (← links)
- Robust stochastic configuration networks with maximum correntropy criterion for uncertain data regression (Q2200707) (← links)
- Impact of random weights on nonlinear system identification using convolutional neural networks (Q2201655) (← links)
- Fuzzy nonlinear regression analysis using a random weight network (Q2282879) (← links)
- Relaxed support vector regression (Q2329900) (← links)
- Meta fuzzy functions based feed-forward neural networks with a single hidden layer for forecasting (Q3389682) (← links)
- Probabilistic robustness estimates for feed-forward neural networks (Q6079061) (← links)
