The Learning and Artificial Neural Networks (AYRNA) research group (TIC-148 of the Junta de Andalucía) was founded in 1994 by a small group of researchers led by César Hervás-Martínez, focusing on the field of Artificial Neural Networks (ANNs).
In recent years, the group has diversified its areas of expertise, addressing various problems through soft computing techniques—including shallow and deep artificial neural networks, evolutionary algorithms, and other meta-heuristics.
Team Statistics
Research Statistics
Research Areas
Applications - Donor-recipient matching in liver transplants
Application of classification models to the agronomy field
Applications - Precision agriculture
Weed patches identification using remote sensing techniques and crop cover classification
Applications - Predictive microbiology
Application of classification models to predictive microbiology field
Applications - Renewable Energy
Application of machine learning and deep learning techniques to renewable energy management
Fairness & Data Justice
Critical analysis of algorithmic bias, biometric systems, and the socio-political implications of datafication
Methodology - Evolutionary Artificial Neural Networks
Development of evolutionary artificial neural networks techniques