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The Use of Artificial Intelligence for Decision Making
Nezbedová, Katarína ; Pekárek, Jan (referee) ; Dostál, Petr (advisor)
This bachelor thesis deals with the Tamari attractor problem and its application for forming a prediction model. The core of the work is to create a simulation program in the MATLAB development environment and to use it to create and compare several case studies of a predictive model based on different parameters. This model is graphically illustrated and supplemented by economic interpretation.
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Child with risk for learning disabilities
WALDOVÁ, Petra
This diploma thesis deals with the possibilities of prediction of specific learning disabilities among children of preschool age. The thesis is divided into two consequent parts a theoretical part and a practical part. In the theoretical part I focus mainly on the etiology and the diagnosis of specific learning disabilities. The thesis focuses mainly on given examples of a few predictive batteries from Czech and even foreign authors. The practical part contains results of a research survey where are the data I collected through predictive battery of British authors: Nicolson and Fawcett: The Dyslexia Early Screening Test. The main objective of the diploma thesis was to find out the possibility of using this test by pedagogical workers at pre-schools in order to avoid specific learning disabilities. For the research, the quantitative research method was used.
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Dynamics of orchid occurrence in highlands
Černocká, Veronika ; Kindlmann, Pavel (advisor) ; Křenová, Zdeňka (referee)
All species of orchids are sensitive plants and records of their distribution are rare. Their rarity is related to their complex biology and their sensitivity to changes in the environment. It is necessary to pay attention to these threatened species, so that we could preserve them from extinction. For their effective protection we need to know the main causes of extinction of their localities. It is also useful to know the factors, which determine their distribution, so that we could find new localities, where they occur. In this thesis I analyzed some climatic, geographic and ecological factors in the Jeseníky mountains and their surroundings. First, I visited localities of orchids, which were registered in large databases of their presence in the past. The four most numerous species were analyzed using the program MaxEnt. Based on the revisions, existence of 2/3 of the revised localities was confirmed, 8% of the revised localities became extinct because of overgrowth or due to human intervention in the landscape. From the MaxEnt results it is clear, that for all species the most important factor at the 50 × 50 m scale, is the type of biotope and heterogeneity of the countryside. The most suitable biotopes are floodplain and wetland forests, mesophile meadows, natural scrubs, peat bogs and...
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Assessing Selected Indicators Using Statistical Methods
Miléřová, Eliška ; Mucalová, Marcela (referee) ; Doubravský, Karel (advisor)
The bachelor thesis deals with an evaluation of the financial situation of the company. The first part presents the theoretical starting points. The practical part contains selected indicators of financial analysis, analysis of time series and regression analysis of the company for the period from 2009 to 2016. With the help of regression analysis, predictions of the future development of selected indicators are provided. Suggestions on improving the current situation of company are processed based on the relults.
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Analysis of Economic Indicators of the Selected Company Using Statistical Methods
Lacko, Matej ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
The diploma thesis deals with the analysis of economic indicators of Technos a.s., using statistical methods and the evaluation of the current financial situation. The work contains a theoretical and practical part. The theoretical part describes selected economic indicators, regression analysis, time series and correlation analysis. In the practical part, the analysis of selected economic indicators will be carried out and then statistical methods will be used to determine the prediction for the next year and to reveal the dependence between the individual indicators. The last part of the thesis deals with proposals that will improve the financial situation of the company.
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Mathematical and Statistical Methods as Support of the Development of Software Applications
Kinc, Petr ; Novotná, Veronika (referee) ; Šustrová, Tereza (advisor)
This diploma thesis focuses on the design and development of the software tool using C# programming language and his subsequent implementation into the Microsoft Dynamics NAV information system. The task of this tool is to analyze the development of selected indicators using statistical methods and to predict their future development. On the basis of these predicted data, is created an indicative budget to support decision making on the determination of key accounting parameters and coefficients for the next accounting period in the company Vodovody a kanalizace Hodonín, a.s.
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Assessing Selected Indicators Using Statistical Methods
Hofmanová, Aneta ; Michalíková, Eva (referee) ; Doubravský, Karel (advisor)
Master's thesis deals with the assessment of selected financial indicators of the company through a financial analysis and statistical methods, on the basis of which then evaluates the current situation of the company. The thesis is divided into three parts. The theoretical part contains the issues necessary for the analytical part. The analytical part is focused on the analysis of selected indicators and the subsequent application of statistical methods to predict their future development and to detect dependencies between the indexes. The last part formulates possible solutions to problems caused by financial indicators that do not reach the required values.
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Assessing of the Financial Situation of a Company Using Time Series Analysis
Kalousková, Petra ; Musilová, Martina (referee) ; Doubravský, Karel (advisor)
The diploma thesis deals with an assessment of the topical financial situation of BARVY A LAKY TELURIA, s. r. o. using the time series analysis. The theoretical part focuses on the description of the financial indicators, analysis of the time series, and subsequently the regressive and correlative analysis. In the practical part, selected financial indicators are statistically analyzed. The future two-year development of indicators is predicted on the basis of the selected models; subsequently dependencies among the particular indicators are determined. In the conclusion, proposals to ameliorate the current financial situation of the company are recommended, which was carried out on the basis of the identified shortcomings.
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Echo state neural network for stock market prediction
Pospíchal, Ondřej ; Mašek, Jan (referee) ; Burget, Radim (advisor)
This thesis deals with an echo state network and with acceleration of its learning by implementing the echo state network on a graphics processor. The theoretical part consists of the description of neural networks and some selected types of neural networks, on which is based the echo state network. After that, there are some other algorithms described used for time series analysis and last but not least, the tools that were used in the practical part of the thesis were briefly described. The practical part describes the creation of the accelerated version of the echo state network. After that, there is described the creation of input data sets of real financial indexes, on which the echo state network and the other algorithmns were then tested. By analyzing this accelerated version it was found that its learning speed did not reach the theoretical expectations. The accelerated version works slower, but with greater precision. By analyzing the results of the measurement of the other algorithmns it was found that the highest precision is achieved by solutions based on the neural network principle.
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