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Solving problems of contextual nature by neural nets

Ciskowski P.

Informatyka Teoretyczna i Stosowana

2003

R. 3, nr 4

19-37

The paper addresses the problem of using contextual information by neural nets solving problems of contextual nature. Various approaches towards contextual machine learning from literature art analyzed. The model of context-dependent neuron is presented as well as the theoretical backgrounds for using context-dependent weights. Examples of dis-criminating boundaries produced by traditional and context-dependent nets art compared. The advantages of context-dependent nets in solving contextual classification tasks art shown.