Application of Chaos Theory, Thermodynamics and AI in the Analysis of the Behavior of Complex Systems | Chapter 5 | New Frontiers in Physical Science Research Vol. 3

 This division is devoted to the hypothetical and practical facets of the application of chaos theory. The objects of research are involved nonlinear information arrangements. Methods for studying the performance of multidimensional nonlinear facts systems operating within the foundation of the Open System are presented. It concede possibility be noted that the physics of open structures develops a united approach to the description of a wide type of non-linear experiences. Using the achievements of aforementioned scientific fields as theory of randomness, thermodynamics, visual thinking and artificial intelligence, it is likely to discover secret patterns and additional information when studying aforementioned complex systems. In studies of the dynamics of complex methods, various characteristic signs are used. To study the incident processes of a dynamic arrangement in time, Poincare return times, Lyapunov exponents, Tsallis deterioration, fractal dimensions of bureaucracy, stability limits, etc. are used. In the ending part of the chapter, all these educational characteristic indicators of bureaucracy under study are projected to be secondhand for the input layer of the Recurrent Neural Network of the open ocean Learning Artificial Intelligence algorithm. The issues of imagination of measurement results and sciences concerned with information using the "Visual Thinking" science are considered. In the examples likely, due attention command a price of to the issues of modern imagination, which is the support for the implementation of the "Visual Thinking" science in research activities. The analysis of optical information distinguishing the dynamics of the limits of the system substitute will increase the speed of assessing its conduct, as well as the lawfulness of the decisions fashioned on its control.

Author(s) Details:

Bahram Ismailov,
Department of Instrument Engineering, Azerbaijan State Oil and Industry University, Azerbaijan.

Please see the link here: https://stm.bookpi.org/NFPSR-V3/article/view/8590