Pages that link to "Item:Q448312"
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The following pages link to Robust adaptive learning of feedforward neural networks via LMI optimizations (Q448312):
Displaying 14 items.
- Finite time convergent learning law for continuous neural networks (Q470197) (← links)
- A new robust training law for dynamic neural networks with external disturbance: an LMI approach (Q624433) (← links)
- Robust sequential learning of feedforward neural networks in the presence of heavy-tailed noise (Q889372) (← links)
- Adaptive sliding mode approach for learning in a feedforward neural network (Q1290316) (← links)
- A joint optimization of momentum item and Levenberg-Marquardt algorithm to level up the BPNN's generalization ability (Q1718873) (← links)
- An iterative learning algorithm for feedforward neural networks with random weights (Q1750519) (← links)
- An \(H_\infty\) control approach to robust learning of feedforward neural networks (Q1952560) (← links)
- Control-based algorithms for high dimensional online learning (Q2297419) (← links)
- Efficient self-organizing multilayer neural network for nonlinear system modeling (Q2510805) (← links)
- Continuous and discrete zeroing dynamics models using JMP function array and design formula for solving time-varying Sylvester-transpose matrix inequality (Q2661682) (← links)
- Meta fuzzy functions based feed-forward neural networks with a single hidden layer for forecasting (Q3389682) (← links)
- ADAPTIVE ALGORITHMS FOR NEURAL NETWORK SUPERVISED LEARNING: A DETERMINISTIC OPTIMIZATION APPROACH (Q3598837) (← links)
- Large signal-to-noise ratio quantification in MLE for ARARMAX models (Q5494530) (← links)
- Advances in Neural Networks – ISNN 2005 (Q5707144) (← links)
