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Iterative method of neural elements synthesis with generalized threshold activation function

Geche F., Batyuk A., Melnyk O., Spenyk T.

ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes

2015

Vol. 4, No 4

37--42

Present work considers the neural elements (NE) with generalized threshold activation function and represents iterative method of their synthesis. Algorithm of vectors finding for structures of the neural elements with generalized threshold activation function was developed, and the sufficient condition of Boolean function unreliazability on such neural elements was discovered.