Pregled bibliografske jedinice broj: 1269835
Development of the model of recognition of textual data using neural networks
Development of the model of recognition of textual data using neural networks // Supplement of the Book of abstracts of the 16th International Symposium of Croatian Metallurgical Society - SHMD '2023, Materials and metallurgy (published in: Metalurgija 62 (2023) 3-4) / Mamuzić, Ilija (ur.).
Zagreb: Hrvatsko metalurško društvo, 2023. str. 495-495 (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 1269835 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Development of the model of recognition of textual data using neural networks
Autori
Mamuzić, Ilija ; Dmitrieva, O. ; Babenko, Y. ; Huskova, V.
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Supplement of the Book of abstracts of the 16th International Symposium of Croatian Metallurgical Society - SHMD '2023, Materials and metallurgy (published in: Metalurgija 62 (2023) 3-4)
/ Mamuzić, Ilija - Zagreb : Hrvatsko metalurško društvo, 2023, 495-495
Skup
16th International Symposium of Croatian Metallurgical Society - SHMD '2023, Materials and metallurgy
Mjesto i datum
Zagreb, Hrvatska, 20.04.2023. - 21.04.2023
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
textual data recognition ; neural networks ; ConvBiGRU
Sažetak
This research is devoted to the justification, development and software implementation of the model of textual data recognition, based on the application of neural networks with hybrid architecture ConvBiGRU. The tasks of the work were to investigate the problem of text recognition, to determine the criteria for evaluating the quality of recognition, to design the architecture of the model and software application. Also, we trained the software model for text recognition, tested the software application and performed a comparative analysis of the recognition quality on other neural networks. The quality of the developed model was evaluated using the known validity metric. To compensate for possible imbalances in the samples, accuracy and completeness metrics were introduced in addition to the chosen metric. As an integrated development environment, the free cross-platform interactive environment for scientific calculations Spyder was used, running on the Anaconda platform.
Izvorni jezik
Engleski
Znanstvena područja
Metalurgija
Napomena
The conference was canceled due the low number of presenters registered for the conference, but the Book of abstracts has been published.