The book is devoted to the analysis of big data in order to extract from these data
hidden patterns necessary for making decisions about the rational behavior of
complex systems with the different nature that generate this data. To solve these
problems, a group of new methods and tools is used, based on the self-organization
of computational processes, the use of crisp and fuzzy cluster analysis methods,
hybrid neural-fuzzy networks, and others. The book solves various practical
problems. In particular, for the tasks of 3D image recognition, large-scale neural
networks with applications for Deep Learning systems were used. Application of
hybrid neuro-fuzzy networks for analyzing stock markets was presented. The
analysis of big historical, economic and physical data revealed the hidden Fibonacci
pattern about the course of systemic world conflicts and their connection with the
Kondratieff big economic cycles and the Schwabe-Wolf solar activity cycles.
Now we give a brief description of the main practical problems solved in this
book related to the intellectual analysis of big data.