CYTUVA

Research Group - Artificial neural networks

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Contact Information

Teodoro Calonge Cano
Campus Miguel Delibes, Paseo Belén, 15
Valladolid, Valladolid (47011) - 1D003 ETSII
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983185603
983423671

Basic Information

UniversityUniversidad de Valladolid
Center
DepartmentInformatics (Computer Architecture and Technology, Computer Science and Artificial Intelligence, Computer Languages and Systems)
Investigation GroupNeural networks and machine learning

Description

This line of work focuses on the management of the techniques integrated in the so-called Soft Computing, such as, for example: Artificial Neural Networks, Fuzzy Logic or Genetic Algorithms.

In this sense, the group deals with the development of artificial neural networks based on the recognition of static and dynamic patterns for their use in real applications in conjunction with other techniques (neurocomputing, perceptron and adaline, self-organized maps, supervised vector quantization, radial base functions and recurrent networks).

Other information

Number of researchers:

Development status:

In research and development phase

Intellectual Property Rights:

Susceptible de Propiedad Intelectual

Differentiation in the market:

Tendencias de mercado

Applicability of technology:

Yes

Companies and markets:

Techniques and models of very transversal application, with applicability in any field (for example, prediction engines applied in video games) Biomedical and Sanitary Applications. Industrial manufacturing Sociological Investigations Videogames

Advantages:

Technology and emerging models

Additional Information:

Applications of various machine learning techniques for solving classification and regression problems. There is experience in models whose entries range from numerical, categorical, text and images.

UNESCO Code:

1203 - Computer Sciences (see 3304)

Other members:

Joaquín Adiego Rodriguez

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