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| Issue | Title | |
| Vol 12, No 3 (2012) | ARTIFICIAL NEURAL NETWORK FAULT MODEL STUDY | Abstract similar documents |
| Vladimir A. Fatkhi, Daniil V. Marshakov, Vasily V. Galushka | ||
| "... Fault models of the artificial neural network hardware implementations are considered ..." | ||
| Vol 14, No 4 (2014) | INTEGRATED APPLICATION OF SYNERGETIC APPROACH AND NEURAL NETWORK STRUCTURES TO THE PROBLEM OF ELECTRIC DRIVE INTELLECTUAL CONTROL SYSTEM SYNTHESIS | Abstract similar documents |
| А. А. Kolesnikov, D. V. Marshakov, Andrey Razmikovich Aydinyan | ||
| "... The applicability of the artificial neural networks to the synthesis of the intellectual systems ..." | ||
| Vol 19, No 1 (2019) | Deep convolution neural network model in problem of crack segmentation on asphalt images | Abstract PDF (Eng) similar documents |
| B. V. Sobol, A. N. Soloviev, P. V. Vasiliev, L. A. Podkolzina | ||
| Vol 18, No 1 (2018) | On applicability of mathematical scaling and normalization in applied problem solving | Abstract similar documents |
| A. I. Dolgov, D. V. Marshakov | ||
| Vol 21, No 4 (2021) | Evaluation of the elastic modulus of pavement layers using different types of neural networks models | Abstract PDF (Eng) similar documents |
| M. M.M. Elshamy, A. N. Tiraturyan, E. V. Uglova | ||
| "... Introduction. This paper studies the capability of different types of artificial neural networks ..." | ||
| Vol 22, No 3 (2022) | Evaluation of Pavement Condition Deterioration Using Artificial Intelligence Models | Abstract PDF (Eng) similar documents |
| M. M. M. Elshamy, A. N. Tiraturyan, E. V. Uglova, M. Z. Elgendy | ||
| "... the possibility of using artificial neural networks to assess existing pavement characteristics ..." | ||
| Vol 22, No 4 (2022) | On the Control of the Technical Condition of Elevator Ropes Based on Artificial Intelligence and Computer Vision Technology | Abstract PDF (Eng) similar documents |
| A. V. Panfilov, A. R. Yusupov, A. A. Korotkiy, B. F. Ivanov | ||
| "... and classification of the major significant rope defects based on a deep convolutional artificial neural network ..." | ||
| Vol 20, No 3 (2020) | Neural network technology for identifying defect sizes in half-plane based on time and positional scanning | Abstract PDF (Eng) similar documents |
| A. N. Solov'ev, A. V. Cherpakov, P. V. Vasil’ev, I. A. Parinov, E. V. Kirillova | ||
| "... approach and the use of artificial neural networks (ANN). The authors have developed a technique ..." | ||
| 1 - 8 of 8 Items | ||
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