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Methods of removing unwanted objects from aerial photography images using iterative approach
Stroy O., Buryachenko V.
MODELING OF SITUATIONAL STRATEGIES WITH THE USE OF NEURAL NETWORKS ON THE EXAMPLE OF AN INDUSTRIAL ENTERPRISE
Volovikov B.
Data mining tools for prospective students’ success rate prediction
Akhmedova S., Vishnevskaya S., Koromyslova A.
EVOLUTIONARY DESIGN OF NEURAL NETWORKS FOR FORECASTING OF FINANCIAL TIME SERIES
Sidorov M., Zablotskiy S., Semenkin E., Minker W.
INTELLIGENT INFORMATION TECHNOLOGIES IN TIME SERIES FORECASTING
Semenkin E., Shabalov A.
APPLICATION OF NEURO-FUZZY SYSTEMS IN BANK SCORING PROBLEMS
Shabalov A.
DEVELOPMENT OF ADAPTIVE GENETIC ALGORITHMS FOR NEURAL NETWORK MODELS MULTICRITERIA DESIGN
Brester C., Semenkin E.
AUTOMATED DESIGN OF INTELLIGENT INFORMATION TECHNOLOGY KOLLEKTIVESBY MEANS OF GENETIC PROGRAMMING TECHNIQIE
Semenkin E., Shabalov A., Efimov S., Semenkin E., Shabalov A., Efimov S.
INTEGRATION OF INTELLIGENT INFORMATION TECHNOLOGIES ENSEMBLES WITH SELF-CONFIGURING GENETIC PROGRAMMING ALGORITHM
Semenkin E., Semenkina M.
NEW OPTIMIZATION METAHEURISTIC BASED ON CO-OPERATION OF BIOLOGY RELATED ALGORITHMS
Akhmedova S., Semenkin E.
System for processing highly specialized information in distributed networks
Zelenkov P., Brezitskaya V., Bachurina E., Khokhlov A., Karaseva M.
New possibilities of modern 3G and 4G radio networks, at usage of alternativemethods of multimedia information compression
Tul'skiy I., Tulskiy I.
COMBINING CLUSTERING AND CLASSIFICATION APPROACHES FOR SPEECH-BASED EMOTION RECOGNITION PROBLEM
Polyakova A., Sidorov M., Semenkin E.
Integrated evolutionary approachfor neural network ensembles automatic design
Bukhtoyarov V., Semenkin E.
IMPLEMENTATION OF NEURALNETWORK CONTROLLERFOR MANAGING ORGANIZATIONALAND TECHNOLOGICALCOMPLEX
Emel'yanov R., Prokop'ev A., Turysheva E., Postoev P., Emelyanov R., Prokopiev A., Turisheva E., Postoev P.
NEURODYNAMIC HEALTH DIAGNOSIS BEFORE, DURING AND FOLLOWING SPACE FLIGHTS
Gerget O., Devjatykh D.
THE RELIABILITY RESEARCH OF N-VERSION SOFTWARE USING METHODS OF NETWORK ANALYSIS
Kovalev P., Laykov A., Gritsenko S.
A COMPREHENSIVE EVOLUTIONARY APPROACH FOR NEURAL NETWORK ENSEMBLES AUTOMATIC DESIGN
Bukhtoyarov V., Semenkin E.
SOLVING THE PROBLEM OF CITY ECOLOGY FORECASTING WITH NEURO-EVOLUTIONARY ALGORITHMS
Khritonenko D., Semenkin E., Sugak E., Potilitsina E.
Graph-analytic research of software basedon N-version architecture
Kapchinsky I., Kovalev P., Gritzenko S.
Computer security problems solving by automatically designed neural network ensembles
Semenkina M., Popov E.
ABOUT THE EFFECTIVENESS OF EVOLUTIONARY ALGORITHMS FOR MULTICRITERIAL DESIGN OF ARTIFICIAL NEURAL NETWORKS
Koromyslova A., Semenkina M.
1 - 22 de 22 resultados
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