DocumentCode
2065147
Title
An application of neural networks to emulation of aesthetic judgements
Author
Jagielski, Romuald
Author_Institution
Dept. of Comput. Sci., Swinburne Univ. of Technol., Hawthorn, Vic., Australia
fYear
1993
fDate
24-26 Nov 1993
Firstpage
334
Lastpage
337
Abstract
Models of perception of abstract black and white images are proposed. The core part of the models are artificial neural networks (ANNs). The computer system is trained by providing samples of pictures and some pre-calculated characteristics. Once successfully trained, the system is able to classify new pictures displaying aesthetic preferences similar to those owned by its teachers
Keywords
art; behavioural sciences computing; learning by example; neural nets; aesthetic judgement emulation; aesthetic preferences; art; black and white images; cognitive modelling; neural networks; perception models; picture classification; pictures; training; Application software; Art; Computer science; Emulation; Humans; Mathematical model; Neural networks; Psychology; Testing; Visual perception;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Neural Networks and Expert Systems, 1993. Proceedings., First New Zealand International Two-Stream Conference on
Conference_Location
Dunedin
Print_ISBN
0-8186-4260-2
Type
conf
DOI
10.1109/ANNES.1993.323009
Filename
323009
Link To Document