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Goloskokov K. P.

Doctor of Engineering, Professor, Chair of Information Systems in Economics, Saint-Petersburg State University of Engineering and Economics

Electronic units working state forecasting: the neural networks approach based on the support vector machine

The technical state parameters forecasting of industrially manufactured electronic hardware products problem is investigated. An image recognition method based on a neural network construction using basic vectors machine approach is applied. The implemented algorithm meets the production process requirements and features high run time efficiency.

Quality management during testing of means of electronic techniques

The standard of quality planned by the technical project, on the one hand, should be rather high to meet the requirements of the consumer, and on another, should conform to a technological level of improved production and to be economically balanced. Thus, at preparation of the technological task those technical and technological parameters that would define quality of a product are laid. In article approaches to automation of testing of products of electronic techniques are considered.