Recognizing imperfections with an artificial neural network of a special type
Source abstract
Abstract
Recognition of imperfections with the use of signals from nondestructive testing devices is considered. A new type of neural network that allows separation of signals from imperfections of different types is proposed. Concepts of the neural network’s operation are considered. An example of recognition of signals from an ultrasonic flaw detector is given.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Data Processing Techniques
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References (5)
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