| Autor: |
Rizki Ardianto Priramadhi, Denny Darlis |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
IJAIT (International Journal of Applied Information Technology), Vol 5, Iss 01, Pp 34-42 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2581-1223 |
| DOI: |
10.25124/ijait.v5i01.3220 |
| Popis: |
In this research, a Feed-Forward Artificial Neural Network design was implemented on Xilinx Spartan 3S1000 Field Programable Gate Array using XSA-3S Board and prototyped blood type classification device. This research uses blood sample images as a system input. The system was built using VHSIC Hardware Description Language to describe the feed-forward propagation with a backpropagation neural network algorithm. We use three layers for the feed-forward ANN design with two hidden layers. The hidden layer designed has two neurons. In this study, the accuracy of detection obtained for four-type blood image resolutions results from 86%-92%, respectively. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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