|
|
Optimization Algorithm with Probability Direction Vector
Pohl, Jan ; Pokorný, Miroslav (referee) ; Matoušek, Radomil (referee) ; Jirsík, Václav (advisor)
This disertation presents optimization algorithm with probability direction vector. This algorithm, in its basic form, belongs to category of stochastic optimization algorithms. It uses statistically effected perturbation of individual through state space. This work also represents modification of basic idea to the form of swarm optimization algoritm. This approach contains form of stochastic cooperation. This is one of the new ideas of this algorithm. Population of individuals cooperates only through modification of probability direction vector and not directly. Statistical tests are used to compare resultes of designed algorithms with commonly used algorithms Simulated Annealing and SOMA. This part of disertation also presents experimental data from other optimization problems. Disertation ends with chapter which seeks optimal set of control variables for each designed algorithm.
|
|
|
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.
|
|
|
Image Compression Based on Artificial Neural Network
Vondráček, Jiří ; Pohl, Jan (referee) ; Jirsík, Václav (advisor)
The thesis is focused on the image compression based on artificial neural network with practical implementation. The objective of this thesis is to explore possibilities of an image compression by artificial neural network and analyze results. In the theoretical part of the work, the fundamentals of artificial neural network are described and basic image compression techniques are explained. In the practical part there is a brief description of the compression program, the comparison of different settings and result evaluation.
|
|
|
Diagnostic of System Reliability
Bábek, Tomáš ; Pohl, Jan (referee) ; Havlíková, Marie (advisor)
This thesis is oriented to the reliability theory and diagnostics. It involves brief explanation of terms that exists in a branches of technical devices reliability. The next part contains determining the reliability indexes, calculations of probabilities and statistics for electronic devices. I do mention the different methods of reliability diagnostics. The three most used of them are described. First of them is the reliability block model. By this I describe the serial reliability model, the parallel reliability model and the combination of them. Using this method is the simple way to show how each component affects reliability of the whole system. The second method is FMEA (Failure Mode and Effects Analysis) which is used mostly in the begining of the system designing. The third method is FTA (Fault tree analysis) which is one of the classic deductive methods. The FTA method is a graphical reliability model of a given system. By the end of this thesis, process of calculating the failure probability and the other reliability indexes of a given komponent (preamplifier with operational amplifier) is shown.
|
|
|
Ambient Intelligence
Ondruška, Jiří ; Pohl, Jan (referee) ; Jirsík, Václav (advisor)
Diploma thesis deals with Ambient intelligence issue. Represents its basic characteristic and demands for its realization. Describes actual stadium in this concept development and shows some present projects. Next focuses on Intelligent buildings issue. In connection with this addresses to so-called human behaviour patterns. Various methods of human behaviour patterns measurement are discussed there. Thesis then focuses on people counting system design, which is based on camera record. Such system represents way of human behaviour patterns measurement. Lastly, the using of this way obtained data is discussed.
|
|
|
Image processing with neural networks
Gróf, Zoltán ; Pohl, Jan (referee) ; Jirsík, Václav (advisor)
This bachelor’s thesis centralizes on the possible uses of neural networks in the field of computer vision. This work contains basic theoretic knowledge of the field of neural networks and image processing. It discusses how successfully can neural networks be applied through the separate steps of image processing, what kind of neural networks are suitable for these steps, and what are the problems that might appear with their use. The work discusses the fields of classification and image understanding in a more detailed level. It’s shown how the use of neural networks can be appropriate in these applications. An own program was created as part of this work to demonstrate the classification capabilities of neural networks. It’s shown a neural network is created and trained for the recognition of handwritten numbers. The trained neural network was subject to different tests, through which the conclusion was reached, that it works with a high success rate, but is sensitive to changes in the input objects: change of size and location. A number of possible solutions were designed for this problem.
|
|
|
Analysis of Human Signature Based on Artificial Neural Network
Ševčík, Pavel ; Horák, Karel (referee) ; Pohl, Jan (advisor)
This bachelor thesis deals with methods of human signature and its analysis in practical service of artificial neural network. Actual processing and analysis of human signature consist in few steps. First of all, the signature pattern is digitized and processed with the assistance of preprocessing and segmentation methods. Afterwards, the object of human signature pattern is described with the assistance of centric geometric moments and moments invariant characteristics. Finally, the pattern is classified by multilayer perceptron, whose outputs determine the person, to that signature belongs to.
|
|
|
Occupancy grids
Herman, Ivo ; Pohl, Jan (referee) ; Šolc, František (advisor)
This thesis deals with theoretical analysis and practical use of different sensor models for occupancy grids. In the first part was theoretically derived one-dimensional sensor model with Gaussian noise, which was subsequently converted into second dimension. In the second part were compared several of the sensor models: the model by R. Murphy, maps generated by the EM algorithm and also by our implementation of 2D model. Another result of the thesis is computer programme, which allows measurement generating for models in simulated world and incorporating real--sensor data.
|
|
|
Genetic Algorithms
Miček, David ; Pohl, Jan (referee) ; Honzík, Petr (advisor)
This thesis presents description of Genetic algorithm. The description begins with theory of complexity and following basic theory of genetic algorithm. Next part explains the principle of all three tasks – travelling salesman problem, knapsack problem and evolution of algorithm for five-in-a-row. The main focus was on developing the algorithm for five-in-a-row. The results were tested with other similar algorithms from internet. In case of travelling salesman problem and knapsack problem, the results were compared with gradient optimization methods.
|
|
|
Petri nets for expert systems
Million, Pavel ; Pohl, Jan (referee) ; Jirsík, Václav (advisor)
Purpose of this master thesis is description of base parts of expert system with using Petri nets. Attention is mainly concentrate to knowledge base, way of storing knowledge. Next parts are describing main different between production base knowledge for planning or diagnostic expert system from Petri nets view. In this thesis conditions of using Petri nets and way of interpretation knowledge for inference mechanism in planning and diagnostic expert system are described. Using of high level Petri nets and language describing Petri nets structure and behaviour are demonstrated in next part of this thesis.
|
guest ::
RSS feed.