Abstract
The purpose of the research is to extract images from the experimental database by computing the aggregate indicators and introduce them in the parallel processing of models. At present, we have been trying to explain the process of decision-making in algebra of widespread errors and counterfeiting nets in the Ximming network. When deciding whether algorithms in these models are heterogeneous, it does not allow for adequate mathematical formulation of neural networks' transparency problem. As a result, isolation of the images depends on the specialist in neurosurgeons and, in principle, the recommendation.
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Bahodir, M., & Bahrombek, S. (2019). Information, analysis ximmingning four neurons chemical name of the information in intellectual evidence. International Journal of Innovative Technology and Exploring Engineering, 8(11), 3382–3384. https://doi.org/10.35940/ijitee.J9176.0981119
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