Uporaba umetne inteligence za reševanje zahtevnih inženirskih problemov

diplomsko delo

Simon Šikovec (Author), Miran Brezočnik (Mentor), Simon Klančnik (Co-mentor)

Abstract

diplomsko delo opisuje različne metode umetne inteligence in njihovo uporabo v inženirstvu. V uvodnem delu je razčlenitev umetne inteligence in splošen opis, ki mu sledi nekaj primerov. S primeri, kot sta na primer optimizacija obdelovalnih parametrov in napovedovanje oziroma obnašanje sistema v prihodnosti, želimo pokazati, da je uporaba umetne inteligence učinkovit pristop za reševanje inženirskih problemov. Na koncu obeh primerov prikažemo, da je uporaba metod umetne inteligence učinkovita, saj je robustna, zmogljiva in za inženirske potrebe dovolj natančna. Danes vse bolj stremimo k čim večji avtomatizaciji in načrtovanju proizvodnih sistemov, ki nam dajejo najboljše rezultate. Uporaba umetne inteligence je velikokrat skoraj nujna, saj do neke mere nadomesti navzočnost človeka v proizvodnih sistemih.

Keywords

umetna inteligenca;nevronske mreže;genetski algoritmi;skupinska inteligenca;mehka logika;algoritem kolonije mravelj;

Data

Language:	Slovenian
Year of publishing:	2013
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FS - Faculty of Mechanical Engineering
Publisher:	[S. Šikovec]
UDC:	004.896:62(043.2)
COBISS:	17600790
Views:	2466
Downloads:	426
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Use of artificial intelligence for solving demanding engineering problems
Secondary abstract:	the Diploma thesis describes different artificial intelligence methods and their use in engineering. The introductory part presents the analysis of artificial intelligence and a general description, which is followed by some specific examples. With examples such as, for instance, optimisation of processing parameters and prediction, or behaviour of the system in the future, we want to show that the use of artificial intelligence is an effective approach to solving engineering problems. In the end of both examples we show that the use of artificial intelligence methods is effective, because it is robust, high-performing, and accurate enough to meet the engineering needs. Nowadays, we increasingly strive to increase the automation and planning of production systems that provide better results. The use of artificial intelligence is often almost necessary, as it replaces, to some extent, the presence of people in production systems.
Secondary keywords:	artifical intelligence;neural networks;genetic algorighms;collective intellgence;fuzzy logic;ant colony algorithm;
URN:	URN:SI:UM:
Type (COBISS):	Undergraduate thesis
Thesis comment:	Univ. v Mariboru, Fak. za strojništvo
Pages:	VI, 48 f.
ID:	8727794