Pinzolas M, Toledo A, Pedreno JL. (2006). A neighborhood-based enhancement of the Gauss-Newton Bayesian regularization training method. Neural Comput. 18

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References and models cited by this paper

Asirvadam VS, Mcloone SF, Irwin GW. (2002). Parallel and separable recursive Levenberg-Marquardt training algorithm Proceedings of the 2002 IEEE Workshop Neural Network in Signal Processing.

Bartlett PL. (1997). For valid generalization, the size of the weights is more important than the size of the network Advances in neural information processing systems. 9

Bienenstock E, Geman S, Doursat R. (1992). Neural networks and the bias-variance dilemma Neural Comput. 4

Hagan MT, Foresee FD. (1997). Gauss-Newton approximation to Bayesian regularization Proceedings Of The IJCNN97. 3

Hagan MT, Menhaj MB. (1994). Training feedforward networks with the Marquardt algorithm. IEEE transactions on neural networks. 5 [PubMed]

Lera G, Pinzolas M. (2002). Neighborhood based Levenberg-Marquardt algorithm for neural network training. IEEE transactions on neural networks. 13 [PubMed]

Levenberg K. (1944). A method for the solution of certain problems in least squares Quart Appl Math. 2

Mackay DJC. (1992). A practical Bayesian framework for back propagation networks Neural Comput. 4

Marquardt DW. (1963). An Algorithm for Least-Squares Estimation of Nonlinear Parameters J Soc Ind Appl Math. 11

Moody J. (1992). The effective number of parameters: An analysis of generalization and regularization in nonlinear learning systems Advances in neural information processing systems.

Ngia LSH, Sjoberg J. (2000). Efficient training of neural nets for nonlinear adaptive filtering using a recursive Levenberg-Marquardt algorithm IEEE Trans On Signal Processing. 48

Pinzolas M, Lera G. (1998). A quasi-local Levenberg-Marquardt algorithm for neural network training Proceedings Of The IJCNN98. 3

Scales LE. (1985). Introduction to non-linear optimization.

Toledo A, Pinzolas M, Ibarrola JJ, Lera G. (2005). Improvement of the neighborhood based Levenberg-Marquardt algorithm by local adaptation of the learning coefficient. IEEE transactions on neural networks. 16 [PubMed]

References and models that cite this paper
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