Verification the Related Data Base by the Layered Radial-Basis Neural Network
Siddikov Isomiddin Khakimovich1, Sadikov Saidkamol Babaevich2
1Siddikov Isomiddin Khakimovich*, Doctor of Technical Sciences, Professor, Department of Information Processing and Control Systems, Tashkent State Technical University, Tashkent, Uzbekistan.
2Sadikov Saidkamol Babayevich, Researcher of TUIT, Tashkent, Uzbekistan.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 30, 2020. | Manuscript published on April 10, 2020. | PP: 1384-1387 | Volume-9 Issue-6, April 2020. | Retrieval Number: F4181049620/2020©BEIESP | DOI: 10.35940/ijitee.F4181.049620
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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 verification method of the information in the related data bases by the theory of layered radial-basis neural networks given in this article. The method consists of three levels: clustering the data by Kohonen network, learning and usage of radial-basis neuron network, marking the reliability of the rows in the table of data base. The software worked out by the invers method in the basis of radial-neuron basis. The suggested data base by the method of verification gives opportunity to work out the models of integrated informational systems, algorithms and software.
Keywords: Rradial-basis Neuron Networks, Related Data Base, Verification, Neuron Networks, learning, Kohonen Networks, Clustering.
Scope of the Article: Clustering