This multidisciplinary research group (GICAP) at the University of Burgos is interested on research related to the field of Artificial Intelligence, and mainly in the fields of connectionist models, data mining and knowledge extraction, projection methods and dimension reduction and visualization techniques. Also, we are researching in the field of identification systems (modelling of any kind of process). These techniques have been applied to different and interesting areas as Knowledge Management, Chemistry, Physics, Civil Engineering, Food Industry, Computer Network Security, Laser milling, identification of the optimal conditions of a pneumatic drill and so on.

Part of our previous work has been published in international journals (as Data Mining and Knowledge Discovery, Neurocomputing, IJPRAI, JETAI, AI Communindication, etc) and also we have some contributions in relevant international conferences as ICANN, ESANN, NNSP, ICONIP, Industrial Conference on Data Mining, KES, HAIS, MICAI, IWANN, IEEE International Conference on Data Mining, IDEAL, CDVE and so on.

Also some special sessions have been organized under the frame of IDEAL, IWANN, HAIS and KES.

Also GICAP has experience in the organization of conferences as IDEAL 2006, HAIS 2006, HAIS 2007, HAIS 2008 and CISIS 2008.

The GICAP research group is a multidisciplinary group compounded by computer experts, physicists, chemists, industrial organization engineers and so on.

GICAP is very related with industrial applications and proof of it is the collaboration under several projects with international companies as Grupo Antolin or Nicolás Correa.

Research lines


Artificial Intelligence

Data Science

Artificial Neural Networks

Agents and Multiagent Systems

Industrial System Modeling and Control

Fault Detection and Predictive Maintenance


Cyber-physical Systems

Internet of Things (IoT)


Offered Services


  • Design and application of artificial neural networks and machine learning algorithms to different problems: analysis, search, structure visualization and high dimensional data classification.
  • Customer Analysis for loanss.
  • Glass clasification based on chemical composition, etc.
  • Development of ICT tools.
  • Knowledge Management.
  • Enterprise Management Models.
  • Tools for data classification, clustering and visualization.
  • Development of scientific websites.