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To the question of forecasting the technical condition of low-thrust liquid rocket engines
Komlev G., Mitrofanova A.
COMPREHENSIVE METHOD FOR MULTIMODAL DATA ANALYSIS BASED ON OPTIMIZATION APPROACH
Ivanov I., Brester C., Sopov E.
MULTI-OBJECTIVE BASED FEATURE SELECTION AND NEURAL NETWORKS ENSEMBLE METHOD FOR SOLVING EMOTION RECOGNITION PROBLEM
Ivanov I.
ALGORITHMIC SUPPORT OF PRODUCTS QUALITY CONTROL IN MELTING FURNACES OF VANUKOV
Kostin E.
Fuzzy hybrid system usage for data processing
Engel E.
HIERARCHICAL MODEL OF DECISION-MAKING BASEDON FUZZY NEURALNETWORKS FOR INFORMATION PROCESSING
Engel' E., Engel E.
MULTI-OBJECTIVE APPROACH FOR DESIGNING ENSEMBLE OF NEURAL NETWORK CLASSIFIERS WITH FEATURE SELECTION FOR EMOTION RECOGNITION PROBLEM
Ivanov I., Sopov E., Panfilov I.
Usage of hierarchical neural networks for multiple vision scenes recognition
Engel E., Zav'yalova O.
ANALYSIS AND RECOGNITION OF TEXTURAL IMAGES ON THE BASIS OF STATISTICAL AND FRACTAL FEATURES
Petukhov N.
On forecasting economic indexes by means of neuroevolutionary models
Fedotov D., Semenkin E.
RESIDUAL HIGH-PRECISION PARALLEL COMPUTING WITH USING OF NEURAL NETWORKS
Rostovtcev V., Zorin E., Grachev E.
Assessment of stability learning algorithms large artificial neural networks of biometric application
Kachalin S.
Influence of network neurons number to network training and forecast accuracy
Lorents V., Gavrikov V., Khlebopros R.
EVALUATION OF OPTIMUM EXECUTION SPEED OF COMPLEX TECHNICAL SYSTEMS CONTROL ELEMENTS
Gustov P., Il'in E., Terskov V., Gustov P., Iluin E., Terskov V.
MANAGEMENT OF ACTIVE ACOUSTIC SOURCES BY MEANS OF A NEURAL NETWORKFOR SUPPRESSION OF ACOUSTIC WAVES IN THE SET AREA
Koshur V., Fadeeva M., Koshur V., Fadeeva M.
ESTIMATION OF RADIO SIGNAL QUALITY DEGRADATION BY MEANS OF NEURAL NETWORK AND NON-PARAMETRIC REGRESSION MODEL
Zablotskiy S., Muller T., Minker W.
GRAPHIC INFORMATION PROCESSING USING INTELLIGENT ALGORITHMS
Engel E.
EVOLUTIONARY ALGORITHM FOR AUTOMATIC GENERATION OF NEURAL NETWORK BASED NOISE SUPPRESSION SYSTEMS
Popov E., Semenkina M., Lipinskiy L.
OPTIMISATION OF CONVOLUTIONAL NEURAL NETWORK STRUCTURE WITH SELF-CONFIGURING EVOLUTIONARY ALGORITHM IN ONE IDENTIFICATION PROBLEM
Fedotov D., Popov E., Okhorzin V.
ABOUT THE METHODS FOR SELECTION INFORMATIVE FEATURES USING SELF-ADJUSTING NEURAL NETWORK CLASSIFIERS AND THEIR ENSEMBLES
Loseva E., Sergienko R.
MODELS AND METHODS OF INTELLECTUAL SUPPORT IN MANAGEMENT DECISIONS FOR TECHNICAL SYSTEMS
Engel E.
DISTRIBUTED SELF-CONFIGURING EVOLUTIONARY ALGORITHMS FOR ARTIFICIAL NEURAL NETWORKS DESIGN
Khritonenko D., Semenkin E.
HYBRID ALGORITHM FOR CONVOLUTIONAL NEURAL NETWORK LEARNING
Ivanov I., Sopov E.
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