Connectionist Computational Models for Computer Grid EnvironmentSupervisor: doc. Ing. Michal Čerňanský, PhD.
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|Project description:||Common feedforward neural networks are a successful approach of artificial intellience. Specialized recurrent neural networks were proposed to process structured data such as sequences, trees or graphs. Despite the high application potential of the latter type of neural networks, they have not yet become a widely used and accepted approach. The high computational requirements of these advanced training approaches have prevented recurrent networks to become widespread and generally accepted computing devices.|
|Kind of project:||VEGA ()|
|Department:||Institute of Applied Informatics (FIIT)|
|Project status:||Successfully completed|
|Project start date :||01. 01. 2008|
|Project close date:||31. 12. 2010|
|Number of workers in the project:||10|
|Number of official workers in the project:||0|