C. Hervás

发表

The use of discriminant analysis and neural networks to forecast the severity of the Poaceae pollen season in a region with a typical Mediterranean climate

César Hervás, J. A. Sánchez Mesa, C. Galán, 2005, International journal of biometeorology.

Product unit neural network models for predicting the growth limits of Listeria monocytogenes.

C. Hervás, R. García-Gimeno, A. Valero, 2007, Food microbiology.

Searching for new mathematical growth model approaches for Listeria monocytogenes.

C. Hervás, R. García-Gimeno, A. Valero, 2007, Journal of food science.

Evolutionary combined neural networks for modelling the growth boundaries for a five strain Staphylococcus aureus cocktail against temperature , pH and water activity

Pedro Antonio Gutiérrez, C. Hervás, R. García-Gimeno, 2007 .

Memetic algorithms-based artificial multiplicative neural models selection for resolving multi-component mixtures based on dynamic responses

Manuel Silva, César Hervás, C. Hervás, 2007 .

Classification of goat genetic resources using morphological traits. Comparison of machine learning techniques with linear discriminant analysis

C. Hervás, M. Dorado-Moreno, A. González, 2015 .

Artificial intelligence and liver transplantation: Looking for the best donor-recipient pairing.

C. Hervás, J. Briceño, R. Calleja, 2022, Hepatobiliary & pancreatic diseases international : HBPD INT.

Biometeorological and autoregressive indices for predicting olive pollen intensity

C. Hervás, C. Galán, C. Hervás, 2013, International Journal of Biometeorology.

Near Infrared Spectroscopy for Classification of Iberian Pig Carcasses Using an Artificial Neural Network

E. De Pedro, C. Hervás, A. Garrido, 1994 .

Artificial Neural Networks for Estimation of Kinetic Analytical Parameters

Sebastián Ventura, Dolores Pérez-Bendito, Manuel Silva, 1995 .

Multicomponent kinetic determinations using artificial neural networks.

S. Ventura, C. Hervás, D. Pérez-Bendito, 1995, Analytical chemistry.

Multilogistic regression by evolutionary neural network as a classification tool to discriminate highly overlapping signals: Qualitative investigation of volatile organic compounds in polluted waters by using headspace-mass spectrometric analysis

Pedro Antonio Gutiérrez, Manuel Silva, Antonio Serrano, 2008 .

Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport

Pedro Antonio Gutiérrez, J. Sanz-Justo, Sancho Salcedo-Sanz, 2020, Atmospheric Research.

Combining classification and regression approaches for the quantification of highly overlapping capillary electrophoresis peaks by using evolutionary sigmoidal and product unit neural networks

Pedro Antonio Gutiérrez, Manuel Silva, Juan Manuel Serrano, 2007 .