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Creation and Implementation of E-learning simulations
Šilon, Ľubomír ; Pekárková, Lucie (referee) ; Kříž, Jiří (advisor)
Bachelor thesis presents a proposal of the electronic simulations for the e-learning courses. The basic principles and standards of e-learning and its comparison with classic style of teaching is explained in this thesis. This thesis describes how to create a simulation using Captivate and the possibility of its implementation in the internal learning company system.
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Multilayer neural network
Kačer, Petr ; Klusáček, Jan (referee) ; Jirsík, Václav (advisor)
Bachelor's thesis describes the basics of issue of multilayer neural networks and explains principle of backpropagation algorithm. Next part of thesis is about development of a software for learning and testing multilayer neural networks and describes its graphical user interface. Last part of thesis is dedicated to tutorial examples and practical demonstrations of multilayer neural network usage.
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The GPU Based Acceleration of Neural Networks
Šimíček, Ondřej ; Jaroš, Jiří (referee) ; Petrlík, Jiří (advisor)
The thesis deals with the acceleration of backpropagation neural networks using graphics chips. To solve this problem it was used the OpenCL technology that allows work with graphics chips from different manufacturers. The main goal was to accelerate the time-consuming learning process and classification process. The acceleration was achieved by training a large amount of neural networks simultaneously. The speed gain was used to find the best settings and topology of neural network for a given task using genetic algorithm.
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Intelligent Fighting Units
Kužela, Martin ; Janeček, Petr (referee) ; Drahanský, Martin (advisor)
The field training of army units includes high financial, material and human resource investments. From this reason, an emphasis on the simulator training of these units arised recently. But the training in simulator needs to have the simulated units as intelligent as a human beings are, so the field training with real human opponents can be successfully replaced with the simulator training. This work deals with the design of fighting unit's intelligent behaviour, that will be applicable in the E-COM simulator environment. Work covers the description of intelligent agents and ways how to achieve their rational and autonomous behaviour. The proposal and the analysis of intelligent fighting unit's implementation and unit's communication with surrounding environment, basic implementation of this proposal and experiments with created implementation are also described in this work.
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Character recognition in the soundtrack with SOM
Malásek, Jan ; Honzík, Petr (referee) ; Honzík, Petr (referee) ; Pohl, Jan (advisor)
This bachelor´s thesis describes a history of neural networks evolution and their using in speech recognition systems and shows problems with working and learning neural networks. It presents three chosen systems for speech recognition including their evaluation in experiments, their advantages and disadvantages. It is also about human speech characteristics and systems of its recognition. The last part is focused on frequency spectrums of different types of vowels and gives instructions for programming neural networks using MATLAB.
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Education application for Internet environment
Kratochvíl, Peter ; Škorpil, Vladislav (referee) ; Zeman, Václav (advisor)
This Master‘s thesis is dealing with the usage possibility of education application for internet environment in learning process. Nowadays, this kind of applications is called the E-learning system. Theoretical part is focused on basic principles, describes the reasons why are these systems so popular and used world wide. Negatives and positives of both, the e-learning system as well as the classic form of studying are described. Content of this part also shows the usual usage cases. Practical part deals with construction of the particular system, based on requested features. The main system was divided into the two main logical parts. Their functionality is well described. In this part also all used programming languages as well as tools and server operation systems are mentioned. Practical part is also used to show information about database system and description of the particular database which was created. In the conclusion can reader find the summary of all practical and theoretical results achieved during the work on the project.
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Neural Network Number Recognition
Doupovec, Zdeněk ; Juránek, Roman (referee) ; Šilhavá, Jana (advisor)
This work describes the basic concepts and principles in the field of neural networks. Closer then deals with the problem of multilayer perceptron networks, namely back-propagation method. There are analyzed the advantages and disadvantages of these methods, the proposal of possible digits recognition system using back-propagation. The aim is to obtain concrete results from the program whitch is able to recognize numbers.
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AI Algorithms
Petrželka, Jan ; Hrubý, Martin (referee) ; Janoušek, Vladimír (advisor)
This master's thesis describes artificial intelligence algorithms based on the book Artificial Inteligence: A Modern Approach by S. Russel and P. Norvig and implementation of the algorithms in the Squeak Smalltalk programming language with object oriented approach. Algorithms are based on pseudocode in the book and existing implementations in Lisp, Python and Java language. Main concepts are intelligent agents, agent simulation environments, state space search, game playing, planning, uncertainty and learning.
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