With the development of the e-commerce industry and the pursuit of quality of life, people buy big-name clothing online to enhance their visual enjoyment. An excellent visual identity of a clothing brand (CB) allows the brand to convey the designer's design concept and connotation of clothing to consumers, making the brand attractive to consumers and ultimately transforming it into purchasing power. For online CBs, this paper designs a real recognition system based on a fully connected neural network(FCNN). The system can identify which brand the clothing category belongs to by inputting the design elements of the CB and comparing the brand types summarized in the database. This paper compares the recognition effects of the three brands in clothing modeling, color, material, pattern and other elements, and finds that the system has the highest recognition accuracy for clothing patterns, which also shows that pattern is the most important element to distinguish a brand.

Tiankuo Yu. Online Clothing Brand Recognition Based on Fully Connected Neural Network. International Journal of Neural Network (2022), Vol. 3, Issue 3: 1-8. https://doi.org/10.38007/NN.2022.030301.

[1] Bogdanov S A, Sidelnikov O S. Use of complex FCNNs to compensate for nonlinear effects in fibre-optic communication lines. Quantum Electronics, 2021, 51(5):459-462. https://doi.org/10.1070/QEL17518

[2] Rivera P, Anazco E V, Choi M T, et al. Trilateral convolutional neural network for 3D shape reconstruction of objects from a single depth view. Image Processing, IET, 2019, 13(13):2457-2466. https://doi.org/10.1049/iet-ipr.2019.0532

[3] Bhowmik D, Saxena U, Dankar A, et al. On-chip learning for domain wall synapse based FCNN. Journal of Magnetism and Magnetic Materials, 2019, 489 (NOV.): 165434.1-165434.11. https://doi.org/10.1016/j.jmmm.2019.165434

[4] Janke J, Castelli M, Popovic A. Analysis of the proficiency of FCNNs in the process of classifying digital images. Benchmark of different classification algorithms on high-level image features from convolutional layers. Expert Systems with Application, 2019, 135(NOV.):12-38. https://doi.org/10.1016/j.eswa.2019.05.058

[5] Bogdanov S A, Sidelnikov O S, Redyuk A A. Application of complex FCNNs to compensate for nonlinearity in fibre-optic communication lines with polarisation division multiplexing . Quantum Electronics, 2021, 51(12):1076-1080. https://doi.org/10.1070/QEL17656

[6] Karthikeyan M, Sathiamoorthy S. Fully Connected Deep Network Based Road Surface Recognition System for an Autonomous Vehicle. International Journal of Advanced Research in Engineering & Technology, 2020, 11(12):2396-2405.

[7] Yasmin N. Transformative Marketing in Creating a CB: How Can a CB Attract Consumer in Bangladesh. Open Journal of Business and Management, 2019, Volume 21(Issue 2. Ser. II):61-65.

[8] Kusudyadmoko M, Permadi L A, Rinuastuti B H. Analisis Sikap Konsumen Terhadap Brand Clothing Lokal Lombok (Study Pada Konsumen Di Wilayah Kota Mataram). Jurnal Sosial Ekonomi Dan Humaniora, 2019, 5(1):48-54. https://doi.org/10.29303/jseh.v5i1.31

[9] Maemunah S, Susanto P H. The Effect of Attitude and Purchasing of Millennials Consumers towards Brand Love in Sports Wear Brands. International Journal on Advanced Science Engineering and Information Technology, 2020, Vol. 29(No. 05, (2020)):515-523.

[10] Othman B , Huang Z , Xi J , et al. Effect of Service Quality on Service Value and Customer Retention for Clothing Store Brands in China. Tekstilec, 2020, 63(4):242-255. https://doi.org/10.14502/Tekstilec2020.64.242-255

[11] Tedsungnon P. Clothing Sales Promotion Activities: Social Media Marketing Aspects . Journal La Bisecoman, 2020, 1(2):15-19. https://doi.org/10.37899/journallabisecoman.v1i2.95

[12] Oklander M, Kudina A. Channels For Promotion Of Fashion Brands In The Online Space. Baltic Journal of Economic Studies, 2021, 7(2):179-187. https://doi.org/10.30525/2256-0742/2021-7-2-179-187

[13] Rehman F U, Al-Ghazali B M. Evaluating the Influence of Social Advertising, Individual Factors, and Brand Image on the Buying Behavior toward Fashion CBs. SAGE Open, 2022, 12(1):1-19. https://doi.org/10.1177/21582440221088858

[14] Zdl M A. The Effect of Clothing as a Marker on Identity. Motif Akademi Halk Bilimi Dergisi, 2021, 14(33):117-130. https://doi.org/10.12981/mahder.867867

[15] Brown V, Hodges N. An exploration of dress and identity among new mothers: The implications of breastfeeding for clothing choice. Fashion Style & Popular Culture, 2019, 6(2):225-241. https://doi.org/10.1386/fspc.6.2.225_1

[16] Khan M Z , Harous S , Saleet-Ul-Hassan S , et al. Deep Unified Model For Face Recognition based on Convolution Neural Network and Edge Computing. IEEE Access, 2019, PP(99):1-1. https://doi.org/10.1109/ACCESS.2019.2918275

[17] Cullinane S, Cullinane K. The Logistics of Online Clothing Returns in Sweden and How to Reduce its Environmental Impact. Journal of Service Science and Management, 2021, 14(1):72-95. https://doi.org/10.4236/jssm.2021.141006

[18] Ryu M H, Cho Y, Lee D. Should small-scale online retailers diversify distribution channels into offline channels? Focused on the clothing and fashion industry. Journal of retailing and consumer services, 2019, 47(Mar.):74-77. https://doi.org/10.1016/j.jretconser.2018.09.014

[19] Ocak A A, Endr N Y. Investigation of Clothing Sizing Information in Online Shopping Offered to Consumers. AJIT-e Online Academic Journal of Information Technology, 2019, 10(38):129-154. https://doi.org/10.5824/1309-1581.2019.3.006.x