The article presents the results of experiments to study the possibility of using machine vision algorithms for identifying timber, in particular round timber, based on the recognition of the image of annual rings taken as a natural marker. Image recognition is carried out using fingerprint identification algorithms. The results of testing several algorithms for fingerprint identification are presented. The analysis of the effectiveness of the proposed method and its suitability for solving such problems is carried out.
Keywords: annual rings, fingerprints, recognition, identification, image processing, pattern recognition, operational accounting, efficiency
The article presents the results of experiments to study the possibilities of short-term forecasting of financial time series using various types of forecasting algorithms. There are results of testing of ARIMA method and Long short-term memory algorithm on a data set wich describes the value of the US dollar relative to the Russian ruble for one day, to predict the future value of the indicator under study. The estimation of the accuracy of forecasting of each of the methods and their suitability for solving such problems is made.
Keywords: forecasting, time series, neural networks, finance, regression algorithms, data analysis, reccurent neural networks, python, numpy, pandas, keras