THE STATISTICAL RECOGNITION OF THE NUMBER SEQUENCE BY THE MEANS OF ANALYZING THE SIGNIFICANT CHARACTERISTIC OF THE VARIABLE DIFFERENCES IN THE ANALYSIS GROUND WITH THE ARTIFICIAL INTELLIGENCE SYSTEMS

In the work the author suggests to build the statistical portraits of the events by the means of the Correlation-Regression Analysis that was developed by him. Because the Line Correlation Processing of the numerical characteristic of the statistical portraits doesn't give the significant results. Just as in the Fechner Method in the suggested method we analyze the significant characteristics of the deviation from the mean values (mathematical expectations) but not just in the sequence under research but also in its variable difference in the suggested by the author ground of analysis. The new method is significantly extending the number of the factors we analyze which improves the qualitative characteristics of the final product of the research: the statistical portrait of the event. The method gives ample opportunities to educe the statistic dependences among the events during the scientific researches in any sphere of our life and activity. That is what the author is showing us using the example of the USA dollars gold price research in the years before the financial crises and as the result the author builds the statistical portrait of the financial crisis. Obviously, the final cause of the considered method is the desire to improve the quality of our life and activity in the different spheres.