Scientific and Technical Journal


ISSN Print 2221-3937
ISSN Online 2221-3805
The problem of the steel technical diagnostic automation was analyzed. The urgency to develop new methods and means of automated diagnostics steels is shown. The algorithm of metallographic images pre-processing was proposed. The neural network structures of the metallographic images recognition, which based on RBF and MLP paradigms, were developed. The neural network modeling results of the metallographic image recognition for diagnosis the steel technical conditions are shown.

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