National Repository of Grey Literature 87 records found  beginprevious68 - 77next  jump to record: Search took 0.02 seconds. 
Creation of Knowledge Database for Lighting Technology with the Possibility of Expert Query Processing
Krbal, Michal ; Sokanský, Karel (referee) ; Gašparovský, Dionýz (referee) ; Baxant, Petr (advisor)
This presented thesis is focused on the complex description of creation the database system for the lighting. The important static and dynamic parameters of light sources and luminaires are listed in the first part of thesis. These parameters are complemented by the measured values and their relationships. The next chapters of thesis are focused to description of obtained parameters, structural design, historical and expected development of individual representatives of light sources. In the following sections are described current state of used data formats of luminaires and the possibilities for describing of light sources. The database systems are created as a result of this thesis. These databases are used for collecting, sorting, searching and sophisticate comparison of the parameters of light sources and luminaires.
Automated Weight Tuning for Rule-Based Knowledge Bases
Valenta, Jan ; Pokorný, Miroslav (referee) ; Zbořil, František (referee) ; Jirsík, Václav (advisor)
This dissertation thesis introduces new methods of automated knowledge-base creation and tuning in information and expert systems. The thesis is divided in the two following parts. The first part is focused on the legacy expert system NPS32 developed at the Faculty of Electrical Engineering and Communication, Brno University of Technology. The mathematical base of the system is expression of the rule uncertainty using two values. Thus, it extends information capability of the knowledge-base by values of the absence of the information and conflict in the knowledge-base. The expert system has been supplemented by a learning algorithm. The learning algorithm sets weights of the rules in the knowledge base using differential evolution algorithm. It uses patterns acquired from an expert. The learning algorithm is only one-layer knowledge-bases limited. The thesis shows a formal proof that the mathematical base of the NPS32 expert system can not be used for gradient tuning of the weights in the multilayer knowledge-bases. The second part is focused on multilayer knowledge-base learning algorithm. The knowledge-base is based on a specific model of the rule with uncertainty factors. Uncertainty factors of the rule represents information impact ratio. Using a learning algorithm adjusting weights of every single rule in the knowledge base structure, the modified back propagation algorithm is used. The back propagation algorithm is modified for the given knowledge-base structure and rule model. For the purpose of testing and verifying the learning algorithm for knowledge-base tuning, the expert system RESLA has been developed in C#. With this expert system, the knowledge-base from medicine field, was created. The aim of this knowledge base is verify learning ability for complex knowledge-bases. The knowledge base represents heart malfunction diagnostic base on the acquired ECG (electrocardiogram) parameters. For the purpose of the comparison with already existing knowledge-basis, created by the expert and knowledge engineer, the expert system was compared with professionally designed knowledge-base from the field of agriculture. The knowledge-base represents system for suitable cultivar of winter wheat planting decision support. The presented algorithms speed up knowledge-base creation while keeping all advantages, which arise from using rules. Contrary to the existing solution based on neural network, the presented algorithms for knowledge-base weights tuning are faster and more simple, because it does not need rule extraction from another type of the knowledge representation.
Expert system for choice of proper method for waste utilization
Fikar, Josef ; Jícha, Jaroslav (referee) ; Dvořák, Jiří (advisor)
This work consists in development of expert system intended for choosing appropriate method of waste processing. The software is created in VisiRule software which is built on Prolog language and is part of WinProlog 4.900 development tool. It also deals with problematics of creating of knowledge base for applications of this type and judging of suitability of possible approaches to creating an expert system for given purpose.
Multivalued logic systems for technical applications
Turek, Vojtěch ; Druckmüller, Miloslav (referee) ; Martišek, Dalibor (advisor)
Velmi často je vyžadováno, aby automatizovaná zařízení byla jistým způsobem "inteligentní", tedy aby jejich řídicí systémy uměly emulovat rozhodovací proces. Tato diplomová práce poskytuje obecný formální popis vícehodnotových logických systémů schopných zmíněné emulace a jejich souvislost s teorií fuzzy množin. Jsou uvedeny způsoby vytváření matematických modelů založených na lingvistických datech. Dále se práce zabývá znalostními bázemi a jejich vlastnostmi. Součástí této práce je také počítačový program sloužící k tvorbě slovních modelů.
Expert systems for choosing field of study
Vítek, Aleš ; Polách, Petr (referee) ; Jirsík, Václav (advisor)
The bachelor thesis deals with the suggestion to set a knowledge basis for an expert system enabling a choice of study specialization at the Faculty of Electrical Engineering and Communication Brno University of Technology (abbrev. FEKT VUT). The expert system would recommend one of the six study branches at the FEKT VUT to the Year 4 secondary school students and Year 1 winter term students of the FEKT VUT. The expert system would gradually ask questions to the single study applicants. Their answers would put the study branches in order of suitability, from the most to the least suitable ones for the applicants.
Methods of knowledge representation
Adamec, Jan ; Valenta, Jan (referee) ; Jirsík, Václav (advisor)
Thesis analyses the problems of energy sources evaluation during the reconstruction of an object or new building.There are described representatives of heat sources for given energy sources in text. rough view of how to proceed in searching for acceptable energy source is made here. this problematics is solved by the help of diagnostic expert system NPS32. created knowledge base could be used for sale support or for users for easier orientation in this problematics.
Balanced Scorecard Implementation within Company Environment
Lojdová, Marie ; Bühn, František (referee) ; Dohnal, Mirko (advisor)
The master’s thesis deals with Balanced Scorecard implementation within a company environment. The object of the thesis is to increase the effectiveness of strategic management which can be achieved through proper implementation of the method. The theoretical section explains the basic concepts of strategic management, followed by the description of method BSC, its implementation and risks. The practical part is focused on creating a business strategy and the model BSC implementation in particular company. As an auxiliary tool for management decision making a fuzzy model was developed and then a dialogue is held with fuzzy expert system.
Expert System for Saving Product Selection for Clients of OVB Allfinanz, a.s.
Bednářová, Zuzana ; Macháček, Jiří (referee) ; Rejnuš, Oldřich (advisor)
This Master´s thesis deals with the topic of optional saving for retirement. The pension schemes of selected European countries and of the Czech Republic are described. Also the current situation and the problems these schemes are facing are analyzed. The thesis focuses on the forthcoming pension scheme reform in the Czech Republic. Further, the possible ways of the complementary pension scheme pillar financing using saving products are analyzed in detail. The objective of the thesis is to design an expert system for optimal saving product selection according to client´s individual requirements.
The Use of Means of Artificial Intelligence for the Decision Making Support in the Firm
Bednář, Martin ; Bružina, Martin (referee) ; Dostál, Petr (advisor)
The master's thesis deals with the topic of the use of artificial intelligence for managerial decision making in the firm. This thesis contains proposal for an application of neural networks and fuzzy logic for firm's product evaluation and recommendation for selection of competent produts.
Utilization of Expert Systems in Marketing Research
Pospíšil, Radek ; Táborský,, Milan (referee) ; Chalupský, Vladimír (advisor)
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.

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