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Publications of Author

1. César Hervás, Sebastián Ventura, J. Martínez
   Reconocimiento de funciones de producción láctea mediante redes neuronales podadas y entrenadas con un algoritmo genético. [Citation Graph (0, 0)][DBLP]
   Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 1998, v:5, n:, pp:32-37 [Journal]
   
2. César Hervás, José Antonio Algar, Manuel Silva
   Correction of Temperature Variations in Kinetic-Based Determinations by Use of Pruning Computational Neural Networks in Conjunction with Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
   Journal of Chemical Information and Computer Sciences, 2000, v:40, n:3, pp:724-731 [Journal]
   
3. César Hervás, Rocío Toledo, Manuel Silva
   Use of Pruned Computational Neural Networks for Processing the Response of Oscillating Chemical Reactions with a View to Analyzing Nonlinear Multicomponent Mixtures. [Citation Graph (0, 0)][DBLP]
   Journal of Chemical Information and Computer Sciences, 2001, v:41, n:4, pp:1083-1092 [Journal]
   
4. César Hervás, Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito
   Computational Neural Networks for Resolving Nonlinear Multicomponent Systems Based on Chemiluminescence Methods. [Citation Graph (0, 0)][DBLP]
   Journal of Chemical Information and Computer Sciences, 1998, v:38, n:6, pp:1119-1124 [Journal]
   
5. Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito, César Hervás
   Computational Neural Networks in Conjunction with Principal Component Analysis for Resolving Highly Nonlinear Kinetics. [Citation Graph (0, 0)][DBLP]
   Journal of Chemical Information and Computer Sciences, 1997, v:37, n:2, pp:287-291 [Journal]
   
6. Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito, César Hervás
   Estimation of Parameters of Kinetic Compartmental Models by Use of Computational Neural Networks. [Citation Graph (0, 0)][DBLP]
   Journal of Chemical Information and Computer Sciences, 1997, v:37, n:3, pp:517-521 [Journal]
   
7. César Hervás, Francisco Martínez, Mariano Carbonero, Cristóbal Romero, Juan Carlos Fernández
   Evolutionary Combining of Basis Function Neural Networks for Classification. [Citation Graph (0, 0)][DBLP]
   IWINAC (1), 2007, pp:447-456 [Conf]
   
8. 
   Memetic Pareto Evolutionary Artificial Neural Networks for the Determination of Growth Limits of Listeria Monocytogenes. [Citation Graph (, )][DBLP]
   
   
9. 
   Feature Selection for Hybrid Neuro-Logistic Regression Applied to Classification of Remote Sensed Data. [Citation Graph (, )][DBLP]
   
   
10. 
    Saw-Tooth Algorithm Guided by the Variance of Best Individual Distributions for Designing Evolutionary Neural Networks. [Citation Graph (, )][DBLP]
    
    
11. 
    Evolutionary learning by a sensitivity-accuracy approach for multi-class problems. [Citation Graph (, )][DBLP]
    
    
12. 
    Memetic Pareto Differential Evolution for Designing Artificial Neural Networks in Multiclassification Problems Using Cross-Entropy Versus Sensitivity. [Citation Graph (, )][DBLP]
    
    
13. 
    Data Mining Algorithms to Classify Students. [Citation Graph (, )][DBLP]
    
    
14. 
    Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher. [Citation Graph (, )][DBLP]
    
    
15. 
    Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology. [Citation Graph (, )][DBLP]