Application of Modified Som Neural Networks on Acyclic Data Structures
نویسندگان
چکیده
Graphs as data structures are used in many applications, for example image analysis, scene description, natural language processing. The paper deals with Acyclic Graph Data Structures (AGDS) and with a learning process in a model of a Self-Organizing Map (SOM) that has been modified for processing of AGDS. To the modified SOM Neural Network (SOM NN), there are added contexts and counters which are built in a training phase of the neural network. The trained SOM NN in active phase can compute information which is used to built some acyclic substructure. The prepared application was tested on the real data of study programs, the test results are evaluated using a winner differentiation and a confidence criterion.
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