Pages that link to "Item:Q2734351"
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The following pages link to Efficient training of neural nets for nonlinear adaptive filtering using a recursive Levenberg-Marquardt algorithm (Q2734351):
Displaying 12 items.
- Duct modeling using the generalized RBF neural network for active cancellation of variable frequency narrow band noise (Q838941) (← links)
- Bit rate maximising per-tone equalisation with adaptive implementation for DMT-based systems (Q983752) (← links)
- Extended neuro-fuzzy models of multilayer perceptrons. (Q1430888) (← links)
- Chaos time-series prediction based on an improved recursive Levenberg-Marquardt algorithm (Q1674355) (← links)
- An adaptive Gauss-Newton algorithm for training multilayer nonlinear filters that have embedded memory (Q1971595) (← links)
- A levenberg-marquardt learning applied for recurrent neural identification and control of a wastewater treatment bioprocess (Q3401320) (← links)
- (Q4546652) (← links)
- Online self-adaptive optimal algorithm for RBF network based on Levenberg-Marquardt algorithm (Q4643079) (← links)
- Robust Data-Driven Fault Detection in Dynamic Process Environments Using Discrete Event Systems (Q5117249) (← links)
- A Neighborhood-Based Enhancement of the Gauss-Newton Bayesian Regularization Training Method (Q5423504) (← links)
- Recursive ridge regression using second-order stochastic algorithms (Q6071711) (← links)
- An efficient averaged stochastic Gauss-Newton algorithm for estimating parameters of nonlinear regressions models (Q6632594) (← links)
