ITHEA Classification Structure > I. Computing Methodologies > I.5 PATTERN RECOGNITION > I.5.4 Applications
ПОВЫШЕНИЕ ТОЧНОСТИ РЕШЕНИЯ ОБРАТНОЙ ЗАДАЧИ
By: Елена Ревунова, Дмитрий Рачковск (4169 reads)
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POLLEN GRAINS RECOGNITION USING STRUCTURAL APPROACH AND NEURAL NETWORKS
· TOWARDS A SEMANTIC CATALOG OF SIMILARITY MEASURES
· РАЗРАБОТКА МЕТОДИКИ АВТОМАТИЧЕСКОГО ТЕСТИ�
· GENETIC BASED SPOT DETECTION METHOD IN TWO-DIMENSIONAL ELECTROPHORESIS IMAGES
· ПОВЫШЕНИЕ ТОЧНОСТИ РЕШЕНИЯ ОБРАТНОЙ ЗАДАЧИ
· MANOMETRY-BASED COUGH IDENTIFICATION ALGORITHM
· TRAINING A LINEAR NEURAL NETWORK WITH A STABLE LSP SOLUTION FOR JAMMING ...
· CLASSIFICATION OF BIOMEDICAL SIGNALS USING THE DYNAMICS
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