Inkrementalno razpoznavanje oseb s pomočjo sklepanja

diplomsko delo

Gaber Šetina (Author), Milan Zorman (Mentor)

Abstract

: V diplomskem delu predstavljamo inkrementalno iskanje in tehnike sklepanja, ki so uporabljene v najrazličnejših inteligentnih sistemih. V splošnem pregledu teme povzamemo napredek inteligentnih sistemov, opišemo zastavljeno aplikacijo in predstavimo sorodne rešitve. Končni cilj je razvoj spletne aplikacije, ki s pomočjo sklepanja, inkrementalnega iskanja ter vprašanj in odgovorov skuša najti osebo, ki si jo je zamislil uporabnik. Na koncu naloge predstavimo še rezultate testiranja in možne izboljšave.

Keywords

sklepanje;inkrementalno iskanje;inteligentni sistemi;

Data

Language:	Slovenian
Year of publishing:	2013
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	[G. Šetina]
UDC:	004.93(043.2)
COBISS:	16906518
Views:	1471
Downloads:	119
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Incremental person recognition using reasoning approach
Secondary abstract:	In this diploma thesis we describe incremental search and different reasoning techniques used in intelligent systems. We show the improvement of modern intelligent systems and describe our application and related solutions. Our final goal is the development of a web application that uses reasoning, incremental search technique and takes the user's answers to a list of question as input to find the imagined person. In the end we present the results and comment on the possible improvements.
Secondary keywords:	reasoning;incremental search;intelligent systems;
URN:	URN:SI:UM:
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko
Pages:	IX, 20 f.
ID:	8725997