Due to the hybrid nature of most real-life problems, both data and knowledge must be applied to find a proper solution. In keeping with this idea, hybrid intelligent systems combines different artificial intelligence techniques and paradigms (symbolic and sub-symbolic) to construct more robust and reliable problem solving models.
New and innovative aspects
Hybrid Artificial Intelligent Systems (HAISs) proved to overcome previous proposals when dealing with real-life and complex problems. This new paradigm from the AI (artificial intelligence) field enables the successful application of combined techniques and models to deal with complex problems.
HAISs have been applied to many different problems, getting nice performance results.
Main advantages of its use
By the combination of different AI technologies, the limitations of individual models and paradigms are overcame.
Specifications
The research group has wide experience on the design, development and deployment of such intelligent systems, to solve practical problems from a range of different applications: parameter tuning of machine-tools, network security, knowledge management, etc.
It requires choosing the appropriate techniques (Artificial Neural Networks, machine learning models, evolutionary learning techniques, optimization mechanisms, etc.) and combining them for each one of the problems, adjusting to the specific nature of the problem.
Applications
Problems with a hybrid nature, whose solution requires the combination of different techniques.
Current development status
In Use Testing Results Available
Desired business relationship
Commercial Agreement, License Agreement, Technical Cooperation: further development; Technical Cooperation: testing new applications; Technical Cooperation: adaptation to specific needs.
The aim of the The Technology Transfer Office (TTO) of the Univesidad de Burgos is to promote Innovation technology through the reseach results transfer and the conexions between the University and the new needs and requirements of the society - we are the link between the University and the Industry. Contact person: José Manuel López (jmllopez@ubu.es)
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