TY  - GEN 
AU  - Urda, Daniel
AU  - Veredas Navarro, Francisco Javier
AU  - González Enrique, Francisco Javier
AU  - Ruiz Águilar, Juan Jesús
AU  - Jerez Aragonés, José Manuel
AU  - Turias Domínguez, Ignacio José
A4  - Ingeniería Industrial e Ingeniería Civil
A4  - Ingeniería Informática
PY  - 2021
SN  - 1433-3058
UR  - http://hdl.handle.net/10498/35219
AB  - Deep learning provides a variety of neural network-based models, known as deep neural networks (DNNs), which are being successfully used in several domains to build highly accurate predictors. A key factor which usually makes DNNs to outperform...
LA  - eng
PB  - Springer Nature
KW  - Deep learning
KW  - Prior knowledge
KW  - Deep neural networks
KW  - Data-driven topology
KW  - Data-scarce settings
KW  - Predictive modeling
KW  - Air quality
TI  - Deep neural networks architecture driven by problem-specific information
DO  - 10.1007/S00521-021-05702-7
ER  -