Artificial intelligence and fuzzy logic related to it currently belong to very popular and rapidly expanding technological subjects. It finds use in many areas, which also include the process of prediction of future states based on specific finite input characteristics. This master’s thesis deals with predictions that are done in field of agricultural crops growing. Basic principles that are affecting mentioned agricultural growing are explained here, their meaning and significance are specified, these are later on perceived as a key aspect to creation of fuzzy models that are used for prediction. This process is specifically about finding out the most suitable crop on considered parcel for maximization of income. Second part of design section is dedicated to description of approaches for work with fuzzy models and is also used as demonstration of application created for purpose of this thesis.

The diploma thesis deals with machine learning, expert systems, fuzzy logic, genetic algorithms, neural networks and chaos theory, which fall into the category of artificial intelligence. The aim of this work is to describe and implement three different classification methods, according to which the data set will be processed. The GNU Octave software environment was chosen for the data application for licensing reasons. Further evaluate the success of data classification, including visualization. Three different classification methods are used for comparison, so that we can compare the processed data with each other.

The work is focused on the use of artificial intelligence techniques in the industry and in systems for monitoring machines. In the practical part, the work focuses on the construction of a convolutional neural network and its testing on real data for diagnosing the state of the machine.

The text deals with ways and methods of creating my diploma thesis called Steal me your €motion. The diploma thesis deals with the relationship between machine learning and emotionality. To what extent is artificial intelligence able to undergo emotional relationships and experiences defined by the physicality and experience of the human body. The topic of the work is the creation of a (fictional) inhuman entity that longs to learn from people as many bodily acts as possible that will help it infiltrate the human community. In addition to reflecting the current level of scientific knowledge, I bring an element of fiction and fiction.

The object of this thesis is proposal and practical implementation of expert system, whose knowledge base will be modeling by fuzzy Petri nets. The proposal is based on knowledge in theoretical analysis of diagnostic expert system and fuzzy Petri nets. This proposal is realised in programming language C#. There are described functions of program and it is made a model consultation with using two different knowledge base.

This master thesis contains the basic information about knowledge and expert systems. The thesis contains theoretic text about architecture of the expert systems and representation knowledge. The text regarding on representation knowledge contains examples of different ways of knowledge representation for expert systems. In the next part is described the design and all functions of the expert systems. This expert system uses frames representation.

The thesis is concerned with optical character recognition from image data with different methods used for character classification. In the first theoretical part it focuses on explanation of all important parts of system for optical character recognition. The latter practical part of the thesis describes an example of image segmentation, the implementation of artificial neural networks for image recognition and create simple training set of data for the evaluation of the network. It also describes the process of training Tesseract tool and its implementation in a simple application EasyTessOCR for character recognition.

This master´s thesis deals with realization of supercomputer using graphic card with CUDA technology. The theoretical part of this thesis describes the function and the possibility of graphic cards and desktop computers and processes taking place in the proces sof calculations on them. The practical part deals with creation system for calculations on the graphic card using the algorithm of artificial intelligence, more specifically artificial neural networks. Subsequently is the generated program used for data classification of large input data file. Finally the results are compared.

This thesis describes playing draughts game by 6 axis manipulator Lynxmotion AL5D controlled by ARM Cortex M3 MCU. It involves algorithms for image recognition, artificial intelligence and algorithms for controlling 6 axis manipulator in real-time.

This diploma thesis deals with the utilization of artificial intelligence methods for prediction at capital markets and includes project of utilization of the chosen parts of chaos theory and artificial neural networks for prediction at capital markets.