This thesis will deal with the use of artificial intelligence methods for solving optimization problems with multiple variables. A theorethical part presents problems of global optimization and overview of solution methods. For practical reasons, special attention is paid to evolutionary algorithms. The subject of optimization itself is energy harvester based on a piezoelectric effect. Its nature and modeling is devoted to one chapter. A part of the thesis is the implementation of the SOMA algorithm for finding the optimal parameters of the generator for maximum performance.

Master thesis deals with possibilities of playing games using artificial intelligence. Also, there is presented artificial intelligence with ability of playing selected game. Artificial intelligence presented in this work is considered as artificial neural networks. First theoretical part is focused on description worldwide successful and known artificial intelligence strategies. After that there is brief description of neural networks and analysis of some libraries for machine learning. Practical part is focused on implementation of created game with Python programming language and in the end, there is analysis of designed solution.

Diploma thesis deals with the creation of an automated trading system for foreign exchange market with the usage of artificial intelligence and elements of technical analysis. In the custom solution design a brokerage company for trading and backtesting is selected with the help of fuzzy logic. For selecting currency pairs for backtesting the strategy on is used method of clustering called self-organizing map. The particular ATS is created in MetaTrader4 platform with the usage of a programming language MQL4 and a FANN library for creating artificial neural networks.

Person identification has in the recent years gained notoriety as one of the most powerful ways of extracting information from image data. This thesis is focused on the task of human identification from facial photographs. To solve this task, we employ algorithms based on neural networks, which produce more robust results than traditional algorithms. In this thesis, we studied the common approaches for solving this problem and based on the gathered knowledge we created an architecture of a neural network trained to tackle the task of human identification and verification based on facial photographs. We have then further improved the model architecture and the training process by performing various experiments and observing the results. The final model has reached an accuracy comparable to other state-of-the-art models. Furthermore, we created a desktop application to demonstrate the results visually and to enable easier manipulation with the identity database. The knowledge gathered in this thesis can be used for improvements of current identification models or models modified for solving similar tasks.

Presented diploma thesis is focused on evaluation of the supplier’s risk and the selection of the most suitable supplier with the use of artificial intelligence. The main part of the diploma thesis deals with the creation of the decision models. The decision models will be created in MS Excel and MATLAB based on the rules of the fuzzy logic. These models will determine the most suitable supplier for the company expert Elektro GOLA s.r.o. and they will also evaluate the supplier’s risk.

The master’s thesis “Utilization of expert systems in marketing research” deals with the development of an application based on an expert system, knowledge basis of which contains expert information from the area of CCTV security systems design. In this thesis, the used expert system is described and also its connection to the relevant marketing research is mentioned.The solution of the expert system is carried out in C++ language programming and the purpose of the program is to eliminate misunderstandings and inaccuracies which occur during the initial negotiations between the salesmen and potential investors.The created software product, based on the knowledge basis of the experts in the field and past experience with camera systems, helps the customers decide what type of system, in what range and with what configuration is suitable for them. Hereby the orientation customers is encouraged in the way as described by the modern concept of marketing.

Diplomová práce se zabývá aplikací fuzzy logiky na proces automatické detekce úpadkového klienta z pohledu řízení úvěrového rizika banky. Na základě analýzy stávajícího informačního systému Credit Risk Monitoring autor navrhuje změnu přístupu v hodnocení úvěrového klienta.

Diploma thesis “Competitive Intelligence” treats with using methods of competitive intelligence at the example of certain company. We will define basic terms and principals of competitive intelligence at the beginning, and then the thesis will contain analyses of concrete situation and procedures suggestion how to solve critical situations. For the analyses will be use information provided by company and also information from public databases. We will dedicate implantation of competitive intelligence methods to the company's decision making process with consideration future market development in this thesis. We will clarify phases which company has to make for establishing CI methods to the reader on the pages of this work. We will also devote information sources and procedure, which can be for those issues crucial.

Issues of the project management with the possibility of artificial intelligence in information management has been solved in this thesis. The solution of this problem has been made on the basis of the publications listed in the information resources that produce description of initial conditions for the theoretical part of this thesis. The model of the company‘s project management with a selection of artificial intelligence methods in designing the HelpDesk for the company has been created on analysis of information management business basis.

Diplomová práce se soustředí na aplikaci principů fuzzy logiky v procesu hodnocení rizikovosti firemních klientů. Na základě reálných dat poskytnutých bankou autor navrhnul dva různé modely, které slouží jako nástroje pro detekci úpadkových firemních klientů. Oba modely a jejich výkonnost jsou řádně otestovány.