Computational Neural Networks in Conjunction with Principal Component Analysis for Resolving Highly Nonlinear Kinetics. - Sebastián Ventura; Manuel Silva 002; Dolores Pérez-Bendito; César Hervás (J. Chem. Inf. Comput. Sci., 1997)

Estimation of Parameters of Kinetic Compartmental Models by Use of Computational Neural Networks. - Sebastián Ventura; Manuel Silva 002; Dolores Pérez-Bendito; César Hervás (J. Chem. Inf. Comput. Sci., 1997)

Computational Neural Networks for Resolving Nonlinear Multicomponent Systems Based on Chemiluminescence Methods. - César Hervás; Sebastián Ventura; Manuel Silva 002; Dolores Pérez-Bendito (J. Chem. Inf. Comput. Sci., 1998)

Correction of Temperature Variations in Kinetic-Based Determinations by Use of Pruning Computational Neural Networks in Conjunction with Genetic Algorithms. - César Hervás; José Antonio Algar; Manuel Silva 002 (J. Chem. Inf. Comput. Sci., 2000)

A two steps method: non linear regression and pruning neural network for analyzing multicomponent mixtures. - César Hervás-Martínez; José Antonio Martinez Heras; Sebastián Ventura; Manuel Silva 002 (ESANN, 2001)

Use of Pruned Computational Neural Networks for Processing the Response of Oscillating Chemical Reactions with a View to Analyzing Nonlinear Multicomponent Mixtures. - César Hervás; Rocío Toledo; Manuel Silva 002 (J. Chem. Inf. Comput. Sci., 2001)

Heuristic Extraction of Rules in Pruned Artificial Neural Networks Models Used for Quantifying Highly Overlapping Chromatographic Peaks. - César Hervás-Martínez; Manuel Silva 002; Juan Manuel Serrano; Eva Orejuela (J. Chem. Inf. Model., 2004)

Improving the Quantification of Highly Overlapping Chromatographic Peaks by Using Product Unit Neural Networks Modeled by an Evolutionary Algorithm. - César Hervás-Martínez; Alfonso Carlos Martínez-Estudillo; Manuel Silva 002; Juan Manuel Serrano (J. Chem. Inf. Model., 2005)