Title
Výzkum schopností neuronových sítí provádět nelineární Booleovskou faktorovou analýzu
Code
GA201/01/1192
Summary
The aim of the project is the development of the neural network approach to the Boolean factorization, which is assumed to be the main function of the hippocampal-neocortical interaction Man- suggested that this function is performed by the CA3 field of hippocampus which acts as the natural neural network autoassociator. Having in mind that the brain demonstrates the higher ability to information processing comparing with artificial systems one can expect that neural network approach for Boolean factorization must dominate in practical applications when the task complexity is comparable with one performed by the brain. We suggest to use Hopfeild-like neural network autoassociator for Boolean classification of sparsely encoded factors. We will analyze the ability of this network to perform this task both by methods of statistical neurodynamics as well as in combination with computer simulation. Results of this analysis will be used in two fields.
Start year
2001
End year
2003
Provider
Grantová agentura ČR
Category
Obecná forma
Type
Standardní projekty
Solver
Information system of research, development and innovation (in Czech)