|
|
Utilization of artificial intelligence in vibrodiagnostics
Dočekalová, Petra ; Huzlík, Rostislav (referee) ; Zuth, Daniel (advisor)
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.
|
|
|
Statistical Classification Methods
Barvenčík, Oldřich ; Žák, Libor (referee) ; Michálek, Jaroslav (advisor)
The thesis deals with selected classification methods. The thesis describes the basis of cluster analysis, discriminant analysis and theory of classification trees. The usage is demonstrated by classification of simulated data, the calculation is made in the program STATISTICA. In practical part of the thesis there is the comparison of the methods for classification of real data files of various extent. Classification methods are used for solving of the real task – prediction of air pollution based of the weather forecast.
|
|
|
Knowledge Discovery from Text Data in the Python Language
Homola, Ján ; Hynek, Jiří (referee) ; Bartík, Vladimír (advisor)
This bachelor thesis deals with knowledge discovery from text data more specifically classification of text-based user reviews. Using experiments, this thesis focuses on methods for preprocessing text data and comparing different classification methods through selected datasets. The conclusion of the work is the evaluation of the achieved results of experiments that were performed using the implemented application.
|
|
|
Knowledge Discovery from Text Data in the Python Language
Homola, Ján ; Hynek, Jiří (referee) ; Bartík, Vladimír (advisor)
This bachelor thesis deals with knowledge discovery from text data more specifically classification of text-based user reviews. Using experiments, this thesis focuses on methods for preprocessing text data and comparing different classification methods through selected datasets. The conclusion of the work is the evaluation of the achieved results of experiments that were performed using the implemented application.
|
|
|
Rozpoznávání drah částic v pixelovém detektoru typu Timepix
Čermák, Jakub ; Čermák, Pavel (advisor) ; Doležal, Zdeněk (referee)
In current particle physics field, the progressive detection technologies are used. The pixel detectors are one of them. These detectors are divided into small subdetectors (pixels), which allow viewing exact tracks of the detected particles. This thesis defines criteria for mathematical description of the shape of the particle tracks of different kinds (e-, γ, p, α, μ) and compares several methods used for a classification -neural networks, decision trees and others. The Pixa software was implemented to process the data measured by pixel detectors. This software implements the characteristics and classification methods and creates statistical and other physical results.
|
|
|
Utilization of artificial intelligence in vibrodiagnostics
Dočekalová, Petra ; Huzlík, Rostislav (referee) ; Zuth, Daniel (advisor)
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.
|
|
|
Consumer Credit Risk Analysis: Evidence from the Czech Republic
Mittigová, Patricie ; Kočenda, Evžen (advisor) ; Hlaváček, Michal (referee)
An increase in the number of granted loans in last decades resulted in more attention paid to proper assessment of borrower's creditworthiness. For this purpose, credit scoring aims to classify good and bad applicants prior loan granting. In this thesis, I analyze a large real-world dataset of borrowers who were granted an unsecured consumer loan in the Czech Republic. The objec- tive is to determine core default predictors while employing seven classification methods. Additionally, a performance measure is computed for each method in order to compare their suitability for examined loan types. Using logistic regression as the core model, the results suggest that borrower's age, monthly income, region of residence, and the number of children substantially influence the probability of default. Conversely, borrower's gender and education level did not prove to be significant for assessing client's creditworthiness. Compar- ing the performance of employed classification methods, it can be concluded that all models produced almost identical results and can be used for the purpose of credit scoring. This thesis complements rather a limited number of credit scoring studies in the Czech Republic and provides new findings about default determinants for unsecured consumer loans. 1
|
|
|
Degenerative joint disease in Great Moravian population from the locality Mikulčice - Valy
Müllerová, Soňa ; Brukner Havelková, Petra (advisor) ; Stránská, Petra (referee)
This diploma thesis had two primary objectives. The first one was to examine if the incidence and development of primary degenerative joint disease (DJD) of the joints of the vertebral column and the limbs in an early medieval population from a cemetery by the sixth church in Mikulčice were affected mainly by the skeletal age of the deceased, or if other factor of physical loads was more significant. A set of 83 skeletal remains was evaluated primarily by Waldron's method (2009), but methods by Stloukal and Vyhnánek (1976); Buikstra and Ubelaker (1994); and Sager (1969) were also used. Schmorl nodes and eburnation were tracked too. Evaluated were vertebral joint (both intervertebral and apophyseal), jaw and limb joints. The results indicate that the incidence of degenerative joint disease in intervertebral joints, temporomandibular joint and appendicular joints is significantly affected by age, with the onset of degeneration being after the 40th year of skeletal age. No correlation of incidence of Schmorl nodes with age was present, and only a few cases of eburnace were noted. The relationship between the presence of DJD and the sex of the skeletons was not approved. I have compared these results with those from similar studies. I have deemed the primary evaluation by Waldron's method to be good...
|
|
|
Degenerative joint disease in bioarcheology
Müllerová, Soňa ; Velemínský, Petr (advisor) ; Kuželka, Vítězslav (referee)
This thesis is divided into three parts. The first part aims to summarize the basics of etiology - issues of degenerative joint disease (DJD), firstly from the medical point of view and subsequently from the perspective of bioarchaeology. The next chapter offers a list of assessment options for degenerative joint disease in large axial joints and the spinal joints. It describes 10 methods used for assessment of DJD in axial joints, 13 methods for intervertebral joints and 4 methods for apophyseal joints. In the last part, there are examples of degenerative joint disease cases observed in a population-based study of human skeletal remains uncovered in the domain of today's Czech Republic. The main aim was to create a summary of incidence of this disease from the Bronze Age to present. Considering the fact that all hitherto carried out studies in this field were merely realized in large population groups with good preservation of skeletal remains, only studies of skeletal remains dating back to the early Middle Ages were selected (Mikulčice- Valy, Kostelisko, Josefov). Therefore, only the incidence of DJD in the mediaeval population could have been described. In other prehistoric and historic eras the degenerative joint disease cases were not assessed in detail, by the epidemiological approach or...
|
|
|
Rozpoznávání drah částic v pixelovém detektoru typu Timepix
Čermák, Jakub ; Čermák, Pavel (advisor) ; Doležal, Zdeněk (referee)
In current particle physics field, the progressive detection technologies are used. The pixel detectors are one of them. These detectors are divided into small subdetectors (pixels), which allow viewing exact tracks of the detected particles. This thesis defines criteria for mathematical description of the shape of the particle tracks of different kinds (e-, γ, p, α, μ) and compares several methods used for a classification -neural networks, decision trees and others. The Pixa software was implemented to process the data measured by pixel detectors. This software implements the characteristics and classification methods and creates statistical and other physical results.
|
guest ::
