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Application of Chaos Theory to Elliott Wave
Loukotková, Veronika ; Ondrová, Jitka (referee) ; Janíček, Přemysl (advisor)
This diploma thesis compares chaos theory with Elliott wave theory in order to find out whether there is an agreement in the area of prediction. Such formulation of main problem is considered original, new and pioneering issue. By solving an indirect problem of deterministic chaos, existence of the chaos was not proved in a respective time series. The possibility to predict future development of this time series in a short-term period was considered impossible with respect of chaos theory results. Nevertheless, subsequent prediction that used Elliott wave theory showed to be precise. Finally, agreement of both theories was not confirmed. The diploma thesis proved that knowledge of Elliott wave theory and ability to interpret it correctly is a valuable means of prediction.
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Chaos
Vogelová, Tereza ; Fajnor, Richard (referee) ; Stratil, Václav (advisor)
The existing world is becoming more disrupted and is falling apart. For its resurrection and restoration, a new way of thinking is necessary. This new type of thinking is needed to be able to open up its mind and to think about the process of thinking itself; it must understand what is happening in other systems, where processes seem to be taking place by themselves without any other visible interference. First Chaos is the title for an intermedia installation which contains 90 black and white photographs, both digital and analogue, all of which were taken between the years 2008 and 2012. Together, the photographs create one coherent piece – a kind of sculpture. They can evoke a "still film" with a non-linear, cyclical storyline, whilst the images can simultaneously function individually, without any connection to other photographs.
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Analysis and Prediction of Foreign Exchange Markets by Chaotic Attractors and Neural Networks
Pekárek, Jan ; Dostál, Petr (referee) ; Budík, Jan (advisor)
This thesis deals with a complex analysis and prediction of foreign exchange markets. It uses advanced artificial intelligence methods, namely neural networks and chaos theory. It introduces unconventional approaches and methods of each of these areas, compares them and uses on a real problem. The core of this thesis is a comparison of several prediction models based on completely different principles and underlying theories. The outcome is then a selection of the most appropriate prediction model called NAR + H. The model is evaluated according to several criteria, the pros and cons are discussed and approximate expected profitability and risk are calculated. All analytical, prediction and partial algorithms are implemented in Matlab development environment and form a unified library of all used functions and scripts. It also may be considered as a secondary main outcome of the thesis.
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Self-organization in today's society
Pampel, Petr ; Malinová, Ludmila (advisor) ; Říhová, Zora (referee)
Main goal of this bachelor thesis is to inform the reader about concept of self-organization in the society including its corporate surroundings. Thesis shortly describes coherent chaos theory for more complex sight of things. Thesis points out penetration of self-organization into human life in daily basis by introducing diverse examples from life. It introduces basic presumptions of a successful manager, who presents the main rival to self-organization. Field test consists of conducted social experiment framed in order to answer submitted hypothesis. Results are supported by processed poll regarding similar matters.
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