Bayesian regularized neural network

Bruneau, P., McElroy, N. R. LogD " modeling using Bayesian regularized neural networks. Assessment and correction of the errors of prediction. J. Chem. Inf Model. 2006, 46,1379-1387. 

Burden, F. R., and Winkler, D. A. (2000) A quantitative structure-activity relationships model for the acute toxicity of substituted benzenes to Tetrahymena pyriformis using Bayesian-regularized neural networks. Chem. Res. Toxicol. 13,436-440. 

Burden, F.R. and Winkler, D.A. (1999b). Robust QSAR Models Using Bayesian Regularized Neural Networks. J.Med.Chem., 42,3183-3187. 

Wang YH, Li Y, Yang SL, Yang L. An in silico approach for screening flavonoids as P-glycoprotein inhibitors based on a Bayesian-regularized neural network. J Comput Aided Mol Des 2005 19 137-47. 

Caballero, J. and Fernandez, M. (2006) Linear and nonlinear modeling of antifungal activity of some heterocyclic ring derivatives using multiple linear regression and Bayesian-regularized neural networks./. Mol. Model., 12, 168-181. 

Polley, M.J., Winkler, D.A. and Burden, F.R. (2004) Broad-based quantitative structure-activity relationship modeling of potency and selectivity of farnesyltransferase inhibitors using a Bayesian regularized neural network. J. Mod. Chem., 47, 6230-6238. 

Balaban, A. T. and Basak, S. C. (2000) Trends and possibilities for future developments of topological indices. Abstr. Pap. Am. Chem. Soc. 220th, COMP-048. Sutter, J. M. and Jurs, P. C. (1995) Selection of molecular descriptors for quantitative structure-activity relationships. Data//anrfZ. Sci. Technol. 15, 111-132. Winkler, D. A. and Burden, F. R. (2000) Robust QSAR models from novel descriptors and Bayesian regularized neural networks. Mol. Simul. 24,243-258. Maddalena, D. J. (1998) Applications of soft computing in drug design. Expert Opin. Ther. Pat. 8, 249-258. 

Bayesian regularized artificial neural networks (BRANNs) are another type of neural networks that make use of Bayesian probabUi-ty(1995CNS469). These ANN have been used for QSAR modehng only... 

Doan C D, liong S (2004) Generalization for Multilayer Neural Network Bayesian Regularization or Early Stopping... 

Foresee FD, Hagan MT (1997) Gauss-Newton approximation to Bayesian regularization. In Proceedings of the 1997 International Joint Conference on Neural Networks... 

---