Enhancing NARX Neural Network for Agarwood Oil Grading: A Study on Resilient Backpropagation Training Method
Agarwood oil, renowned both locally and internationally, is valued for its applications in perfumes, incense, and traditional medicine. However, it remains difficult to grade accurately due to a lack of precise methods. In the present study, data were obtained from the Forest Research Institute Mala...
| 出版年: | 2024 IEEE 22nd Student Conference on Research and Development, SCOReD 2024 |
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| 第一著者: | |
| フォーマット: | Conference paper |
| 言語: | English |
| 出版事項: |
Institute of Electrical and Electronics Engineers Inc.
2024
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| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85219574293&doi=10.1109%2fSCOReD64708.2024.10872669&partnerID=40&md5=a12942c5e55a80862cde50fd46b0c63e |