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Karandashev, I.
103  results:
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1

Research of Useful Signal Losses in Adaptive Antenna Arrays..:

, In: Advances in Neural Computation, Machine Learning, and Cognitive Research V; Studies in Computational Intelligence,
Litvinov, O. ; Murodyans, D. ; Karandashev, I. - p. 285-291 , 2021
Link: https://doi.org/10.1007/..
 
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2

An approximate backpropagation learning rule for memristor ..:

Negrov, D. ; Karandashev, I. ; Shakirov, V....
Neurocomputing.  237 (2017)  - p. 193-199 , 2017
Link: https://doi.org/10.1016/..
 
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3

Matrix transformation method in quadratic binary optimizati..:

Karandashev, I. ; Kryzhanovsky, B.
Optical Memory and Neural Networks.  24 (2015)  2 - p. 67-81 , 2015
Link: https://doi.org/10.3103/..
 
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4

Attraction area of minima in quadratic binary optimization:

Karandashev, I. ; Kryzhanovsky, B.
Optical Memory and Neural Networks.  23 (2014)  2 - p. 84-88 , 2014
Link: https://doi.org/10.3103/..
 
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5

Investigating the Efficiency of Using U-Net, Erf-Net and De..:

Karandashev, I. M. ; Teplov, G. S. ; Karmanov, A. A...
Optical Memory and Neural Networks.  32 (2023)  4 - p. 219-225 , 2023
Link: https://doi.org/10.3103/..
 
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6

Simulation of Hydrogen Combustion at Different Pressures Us..:

Mal'sagov, M. Yu. ; Mikhal'chenko, E. V. ; Karandashev, I. M..
Combustion, Explosion, and Shock Waves.  59 (2023)  2 - p. 145-150 , 2023
Link: https://doi.org/10.1134/..
 
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7

Approach to combustion calculation using neural network:

Nikitin, V.F. ; Karandashev, I.M. ; Malsagov, M. Yu.
Acta Astronautica.  194 (2022)  - p. 376-382 , 2022
Link: https://doi.org/10.1016/..
 
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8

Neural network approach to solve gas dynamics problems with..:

Betelin, V.B. ; Kryzhanovsky, B.V. ; Smirnov, N.N....
Acta Astronautica.  180 (2021)  - p. 58-65 , 2021
Link: https://doi.org/10.1016/..
 
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9

Using Machine Learning Methods to Predict the Magnitude and..:

Tryasoguzov, P. E. ; Kuzovkov, A. V. ; Karandashev, I. M..
Optical Memory and Neural Networks.  30 (2021)  4 - p. 291-297 , 2021
Link: https://doi.org/10.3103/..
 
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10

Exponential Discretization of Weights of Neural Network Con..:

Pushkareva, M. M. ; Karandashev, I. M.
Optical Memory and Neural Networks.  29 (2020)  3 - p. 179-186 , 2020
Link: https://doi.org/10.3103/..
 
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11

Post-training Quantization of Deep Neural Network Weights:

, In: Studies in Computational Intelligence; Advances in Neural Computation, Machine Learning, and Cognitive Research III,
Khayrov, E. M. ; Malsagov, M. Yu. ; Karandashev, I. M. - p. 230-238 , 2019
Link: https://doi.org/10.1007/..
 
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12

Change in Density of States of 2D Ising Model when Next-Nei..:

Karandashev, I. M. ; Kryzhanovsky, B. V.
Optical Memory and Neural Networks.  28 (2019)  3 - p. 165-174 , 2019
Link: https://doi.org/10.3103/..
 
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13

Linear Prediction Algorithms for Lossless Audio Data Compre..:

, In: Studies in Computational Intelligence; Advances in Neural Computation, Machine Learning, and Cognitive Research III,
Telyatnikov, L. S. ; Karandashev, I. M. - p. 359-364 , 2019
Link: https://doi.org/10.1007/..
 
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14

Next Neighbors Addition-Induced Change of 2D Ising Model Cr..:

Kryzhanovsky, B. V. ; Karandashev, I. M.
Optical Memory and Neural Networks.  28 (2019)  2 - p. 89-94 , 2019
Link: https://doi.org/10.3103/..
 
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15

Exponential Discretization of Weights of Neural Network Con..:

Malsagov, M. Yu. ; Khayrov, E. M. ; Pushkareva, M. M..
Optical Memory and Neural Networks.  28 (2019)  4 - p. 262-270 , 2019
Link: https://doi.org/10.3103/..
 
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