Referencias:

Redes neuronales:

[1] Costa, A. H. R. (2019). Artificial Neural Network. PCS. Recuperado de:https://edisciplinas.usp.br/pluginfile.php/4821094/course/section/5864004/2019-ANN-DL.pdf

[2] Basheer, I., & Hajmeer, M. N. (2001). Artificial Neural Networks: Fundamentals, Computing, Design, and Application. Journal of Microbiological Methods, 43(1), 3-31. Recuperado de: https://doi.org/10.1016/S0167-7012(00)00201-3

[3] Buczak, A. L., & Guven, E. (2016). A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection. IEEE Communications Surveys & Tutorials, 18(2). Recuperado de https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7307098

[5]OpenWebinars. (s.f.). ¿Qué son las redes neuronales y sus aplicaciones? Recuperado el 3 de mayo de 2024, de https://openwebinars.net/blog/que-son-las-redes-neuronales-y-sus-aplicaciones/

[6] Atria Innovation. (s.f.). ¿Qué son las redes neuronales y sus funciones? Recuperado el 3 de mayo de 2024, de https://atriainnovation.com/blog/que-son-las-redes-neuronales-y-sus-funciones/

 [7]Calvo, D. (s.f.). Definición de red neuronal. Recuperado el 3 de mayo de 2024, de https://www.diegocalvo.es/definicion-de-red-neuronal/

Aplicación empresarial:

• Predicción y gestión de trafico:

[4] Vlahogianni, E. I., Karlaftis, M. G., & Golias, J. C. (2014). Short-term traffic forecasting: Where we are and where we’re going. Transportation Research Part C: Emerging Technologies, 43, 3-19. Recuperado de: https://www.researchgate.net/publication/260031337_Shortterm_traffic_forecasting_Where_we_are_and_where_we're_going

• Predicción de demanda:

[5] Li, X., & Liu, Y. (2020). Forecasting demand with machine learning and artificial neural networks: A review. International Journal of Production Economics, 225, 107574. Recuperado de:https://www.researchgate.net/publication/220208887_Machine_Learning-Based_Demand_Forecasting_in_Supply_Chains

• Análisis de clientes y marketing:

[6] Verhoef, P. C., Neslin, S. A., & Vroomen, B. (2007). Multichannel customer management: Understanding the research-shopper phenomenon. International Journal of Research in Marketing, 24(2), 129-148. Recuperado de:https://www.rug.nl/staff/p.c.verhoef/ijrm2007.pdf

• Detección de fraudes y seguridad cibernética:

[7]Kwon, O., & Lee, N. (2020). Deep learning approaches for network intrusion detection: A review. Neural Computing and Applications, 32(6), 15243-15258. Recuperado de: https://www.researchgate.net/publication/362691575_DEEP_LEARNING-BASED_NETWORK_INTRUSION_DETECTION_AN_ANATOMIZATION

• Optimización de procesos y operaciones:

[8] Xiao, J., Tang, C., & Wang, D. (2019). A survey of optimization methods from a machine learning perspective. Information Sciences, 484, 156-177. Recuperado de : https://arxiv.org/pdf/1906.06821

Investigación científica:

• Análisis de datos genómicos y biomédicos:

[9] Angermueller, C., & Stegle, O. (2016). Deep learning for computational biology. Molecular Systems Biology, 12(7), 878. Recuperado de: https://www.researchgate.net/publication/305746294_Deep_learning_for_computational_biology

• Modelado y predicción climática:

[10] Scher, S., & Messori, G. (2020). Climate modeling: Deep learning in climate model development. Current Climate Change Reports, 6, 15-25. Recuperado de:https://www.researchgate.net/publication/331500191_Weather_and_climate_forecasting_with_neural_networks_using_GCMs_with_different_complexity_as_study-ground

• Descubrimiento de fármacos y diseño de moléculas:

[11] Chen, H., Engkvist, O., Wang, Y., & Olivecrona, M. (2018). The rise of deep learning in drug discovery. Drug Discovery Today, 23(6). Recuperado de:https://www.researchgate.net/publication/322722712_The_rise_of_deep_learning_in_drug_discovery

• Análisis de datos astronómicos y astrofísicos:

[12] Shallue, C. J., & Vanderburg, A. (2018). Identifying exoplanets with deep learning: A five-planet resonant chain around Kepler-80 and an eighth planet around Kepler-90. The Astronomical Journal, 155(2), 94.  Recuperado de:https://iopscience.iop.org/article/10.3847/1538-3881/aa9e09/pdf