Models and application of neural network post-recognition image interpreters
Abstract
Models and application of neural network post-recognition image interpreters
Incoming article date: 05.02.2024The work outlines the concept of “post-interpretation” of images and for its algorithmic implementation a model of a post-recognition interpreter is proposed. The recognition results of the initial images entering the recognition system are considered as post-images, and an artificial neural network is used as a post-recognizer. To assess the effectiveness of using the model, it is proposed to use the “expediency criterion” and numerical examples are considered to illustrate the features of its use in systems for recognizing and interpreting images with high risks. Data from preliminary results of experimental testing of a model for recognizing speech commands as part of an interactive operator's manual for performing various tasks and an assessment of its effectiveness are presented.
Keywords: intelligent data processing system, image interpretation, recognition reliability, decision-making criterion, artificial neural network