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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ince, T. Vuruskan, A. Bulgun, E. Guzelis, C. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Fashion & Textile Design, Izmir Univ. of Econ., İzmir, Turkey (Vuruskan, A.; Bulgun, E.) || Dept. of Electr. & Electron. Eng., Izmir Univ. of Econ., İzmir, Turkey (Ince, T.; Guzelis, C.) |
| Abstract | In this study, we present the development of an intelligent system solution for fashion style selection for various female body shapes. The proposed intelligent system combines binary genetic algorithm (GA) or binary version of the particle swarm optimization (PSO) with PSO-trained artificial neural network. The former is used to search the solution space for the optimal design parameters corresponding to a best fit for the desired target, and the task of the latter is to evaluate fitness (goodness) of each evolved new fashion style. With the goal of creating natural aesthetic relationship between the shape of the body and the shape of the garment for fashion styling, combinations of upper body related and lower body related garment pieces together with detailed attribute categories were created as a knowledge base. The encouraging results of preliminary experiments demonstrate the feasibility of applying intelligent systems to fashion styling. |
| Sponsorship | IEEE Turkey Sect. SP Chapter |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 517139 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467355629 |
| e-ISBN | 9781467355636 |
| e-ISBN | 9781467355612 |
| DOI | 10.1109/SIU.2013.6531426 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-04-24 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Economics garment design genetic algorithm Shape Clothing female body shapes Educational institutions particle swarm optimization Particle swarm optimization Intelligent systems Genetic algorithms |
| Content Type | Text |
| Resource Type | Article |
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