AN ADAPTIVE LEARNING PROCEDURE FOR THE DIAGNOSTIC CLASSIFICATION OF ELECTRONIC CIRCUITS BASED ON THEIR GENERALIZED CHARACTERISTICS
J.P. MARINOV
(Chief of Laboratory of Electronic Systems for Diagnostics and Bionic and Ergonomic Research, VMEI “Lenin”, Faculty of Radioelectronics, 19 February St. No. 1, Sofia, Bulgaria)
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Abstract
A possibility of applying an adaptive learning procedure for checking and diagnosing electronic circuits is discussed, the peculiarities in the configuration of their generalized characteristics (amplitude, frequency, time) being used as information parameters. The method considered is well‐established and the basic principles of the algorithm for its machine realization are given.
Citation
MARINOV, J.P. (1974), "AN ADAPTIVE LEARNING PROCEDURE FOR THE DIAGNOSTIC CLASSIFICATION OF ELECTRONIC CIRCUITS BASED ON THEIR GENERALIZED CHARACTERISTICS", Kybernetes, Vol. 3 No. 1, pp. 33-36. https://doi.org/10.1108/eb005349
Publisher
:MCB UP Ltd
Copyright © 1974, MCB UP Limited