Model wykrywania reguł w procesach transformacji wyników badań naukowych w obszarze budowy i eksploatacji maszyn

Jerzy Dobrodziej

Abstract

The aim dissertation was to develop model of extraction rules in processes of research results of transformation in the field of machines and technical devices construction and maintenance. In dissertation is presented the mathematical model of extraction rules and possibilities of model application to solve selected tasks from the filed of construction and maintenance of machines. Model was elaborated on the basis of evolutional algorithms and machine learning. The possibilities of evolutional algorithms with small populations a implementation is to extraction rules in large databases from the filed of machines construction and maintenance. The usefulness of the minimum lengths of code principle to elaborations of estimation function rules in evolutional algorithm was confirmed. The improvement of speeds of extraction rules through algorithm evolutionary thanks to use of adaptation of evolutional operators was ascertained. On the basis of mathematical model program was developed.
Diploma typeDoctor of Philosophy
Author Jerzy Dobrodziej (FACME)
Jerzy Dobrodziej,,
- Faculty of Automotive and Construction Machinery Engineering
Title in PolishModel wykrywania reguł w procesach transformacji wyników badań naukowych w obszarze budowy i eksploatacji maszyn
Languagepl polski
Certifying UnitFaculty of Automotive and Construction Machinery Engineering (FACME)
Disciplinemechanical engineering / (technology domain) / (technological sciences)
Defense Date04-12-2001
Supervisor Adam Mazurkiewicz (FACME)
Adam Mazurkiewicz,,
- Faculty of Automotive and Construction Machinery Engineering

Pages153
Keywords in Polishbudowa maszyn, eksploatacja maszyn, badania naukowe wspomagane komputerowo, algorytmy ewolucyjne
Abstract in EnglishThe aim dissertation was to develop model of extraction rules in processes of research results of transformation in the field of machines and technical devices construction and maintenance. In dissertation is presented the mathematical model of extraction rules and possibilities of model application to solve selected tasks from the filed of construction and maintenance of machines. Model was elaborated on the basis of evolutional algorithms and machine learning. The possibilities of evolutional algorithms with small populations a implementation is to extraction rules in large databases from the filed of machines construction and maintenance. The usefulness of the minimum lengths of code principle to elaborations of estimation function rules in evolutional algorithm was confirmed. The improvement of speeds of extraction rules through algorithm evolutionary thanks to use of adaptation of evolutional operators was ascertained. On the basis of mathematical model program was developed.
Thesis file
Dobrodziej_Jerzy_model.pdf 10.81 MB
Citation count*4 (2015-07-23)

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