Citation Relationships

Pinzolas M, Toledo A, Pedreno JL (2006) A neighborhood-based enhancement of the Gauss-Newton Bayesian regularization training method. Neural Comput 18:1987-2003

References and models cited by this paper

References and models that cite 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 :129-138

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, Mozer MC:Jordan MI:Petsche T, ed. pp.134

Foresee FD, Hagan MT (1997) Gauss-Newton approximation to Bayesian regularization Proceedings Of The IJCNN97 3:1930-1935

Geman S, Bienenstock E, Doursat R (1992) Neural networks and the bias-variance dilemma Neural Comput 4:1-58

Hagan MT, Menhaj MB (1994) Training feedforward networks with the Marquardt algorithm. IEEE Trans Neural Netw 5:989-93 [Journal] [PubMed]

Lera G, Pinzolas M (1998) A quasi-local Levenberg-Marquardt algorithm for neural network training Proceedings Of The IJCNN98 3:2242-2246

Lera G, Pinzolas M (2002) Neighborhood based Levenberg-Marquardt algorithm for neural network training. IEEE Trans Neural Netw 13:1200-3 [Journal] [PubMed]

Levenberg K (1944) A method for the solution of certain problems in least squares Quart Appl Math 2:164-168

Mackay DJC (1992) A practical Bayesian framework for back propagation networks Neural Comput 4:448-472

Marquardt DW (1963) An Algorithm for Least-Squares Estimation of Nonlinear Parameters J Soc Ind Appl Math 11:431-441

Moody J (1992) The effective number of parameters: An analysis of generalization and regularization in nonlinear learning systems Advances in neural information processing systems, Moody J:Hanson S:Lippmann R, ed. pp.847

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 48:1915-1926

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 Trans Neural Netw 16:988-92 [Journal] [PubMed]

(14 refs)