Information, Analysis Ximmingning Four Neurons Chemical Name of the Information in Intellectual Evidence
Muminov Bahodir1, Sabirov Bahrombek2
1Muminov Bahodir, Tashkent University of information technologies named after Muhammad Al-Kharazim, Head of department of computer science, DSc.
2Sabirov Bahrombek, Urgench Branch of Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Department of Information systems, senior teacher.
Manuscript received on 28 August 2019. | Revised Manuscript received on 05 September 2019. | Manuscript published on 30 September 2019. | PP: 3382-3384 | Volume-8 Issue-11, September 2019. | Retrieval Number: J91760881019/2019©BEIESP | DOI: 10.35940/ijitee.J9176.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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. Keywords:
Keywords: Algorithm, model, evaluation, image, information, network, memory.
Scope of the Article: Analysis of Algorithms and Computational Complexity.