Issue |
Title |
No 2 (2019) |
SHORT-TERM FORECASTING OF TIME SERIES BASED ON EVOLUTIONAL ALGORITHMS |
|
Danilov M.V. |
No 3 (2021) |
CLASSIFICATION OF THE GAME THEORY MODELS IN PROJECT MANAGEMENT: LITERATURE REVIEW |
|
Gintciak A.M. |
No 1 (2022) |
AN ADAPTIVE SOFT SENSOR DESIGN BASED ON A NEURAL NETWORK WITH A PREDICTIVE FILTER IN THE FEEDBACK LOOP FOR A REACTION DISTILATION TECHNOLOGICAL PROCESS |
|
Stabrov S.V., Shtakin D.V., Samotylova S.A., Torgashov A.Y. |
No 4 (2023) |
Stochastic model of the smart power grid section functioning |
|
Sidorov S.M., Obzherin Y.E. |
No 2 (2019) |
METHODS OF IMPROVING NEURAL NETWORK SYSTEMS EFFICIENCY IN CONDITIONS OF LIMITED DATA SETS WITH COMPLEX CORRELATIONS |
|
Cherepanov F.M. |
No 3 (2023) |
On control the chemical composition of raw material and melting mode to ensure the required mechanical properties of steel products of mass production |
|
Yasnitsky L.N., Mezentsev A.S. |
No 2 (2020) |
AGREEMENT CONCEPT FOR DECISION-MAKING IN MANAGING PROJECT OF RESIDENTIAL REPAIR BASED ON THE MULTI-MODEL ASSESSMENT MECHANISMS AND FORECASTING PARAMETERS |
|
Safonov N.I. |
No 2 (2023) |
Optimal labor market management under constraints in the form of a finite-dimensional system of nonlinear differential equations integrated by quadratures |
|
Gorbunov D.L. |
No 3 (2020) |
RESEARCH OF THE BANKRUPTCY PREDICTION RELIABILITY IN CASE TO INTRODUCE A NEW CATEGORY OF THE COMPANIES FINANCIAL POSITION |
|
Noskova A.R., Alekseev A.O. |
No 4 (2022) |
DEVELOPMENT AND APPROBATION OF A SOFTWARE SOLUTION FOR THE INVESTMENT PORTFOLIOS FORMATION USING FRACTAL ANALYSIS AND PREDICTIVE MODELS |
|
Garafutdinov R.V. |
No 3 (2020) |
FUNCTIONAL DATA PREPROCESSING APPLICATION TO OIL-TRANSFER PUMPS VIBRATION PARAMETERS FORECASTING |
|
Okunev A.A. |
No 1 (2018) |
Using symmetric and asymmetric filters in evaluation of underwriting cycles length |
|
Tetin I.A. |
No 4 (2020) |
METHODOLOGY OF DISCRETE SPATIAL-PARAMETRIC REAL ESTATE MARKET MODELLING |
|
Sternik S.G. |
No 3 (2018) |
NEURO-EXPERT SYSTEM OF DIAGNOSTICS, FORECASTING AND RISK MANAGEMENT CARDIOVASCULAR DISEASES |
|
Yasnitsky L.N., Cherepanov F.M. |
No 1 (2021) |
FINITE DIFFERENCES METHOD FOR SOCIO-ECONOMIC MODELING |
|
Sirotina N.A., Kopoteva A.V., Zatonskiy A.V. |
No 4 (2018) |
ARTIFICIAL INTELLIGENCE IN PERM UNIVERSITIES: HISTORY AND SCIENTIFIC PRIORITY (REVIEW ARTICLE) |
|
Yasnitsky L.N. |
No 1 (2021) |
ESTIMATION OF A POSSIBILITY OF PRESERVING ORDER IN A STATE WITH USAGE OF ARTIFICIAL NEURAL NETWORK |
|
Permyakov A.M., Yasnitsky L.N. |
No 1 (2019) |
CREATING NEURAL NETWORK FOR IDENTIFICATION OF POTENTIAL BANK CUSTOMERS |
|
Zadvornaya I.A., Romakina O.M. |
No 2 (2021) |
APPLICATION OF THE LONG MEMORY MODELS FOR RETURNS FORECASTING IN THE FORMATION OF INVESTMENT PORTFOLIOS |
|
Garafutdinov R.V. |
No 1 (2019) |
THE APPLICATION OF SYSTEMIC-COGNITIVE ANALYSIS IN THE INDUSTRY FORECASTING THE FINANCIAL SITUATION OF ENTERPRISES (FOR EXAMPLE CONSTRUCTION INDUSTRY) |
|
Noskova A.R., Alekseev A.O., Lutsenko E.V. |
No 3 (2021) |
MODELING AND FORECASTING THE NUMBER OF UNEMPLOYED IN THE PERM REGION |
|
Kulentsan A.L., Marchuk N.A. |
No 2 (2019) |
MODELING AND FORECASTING OF DOMESTIC AND INTERNATIONAL TOURISM IN TURKEY |
|
Zatonskiy A.V., Tugashova L.G., Barova A.E. |
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