Enhancing NARX Neural Network for Agarwood Oil Grading: A Study on Resilient Backpropagation Training Method

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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...

書誌詳細
出版年:	2024 IEEE 22nd Student Conference on Research and Development, SCOReD 2024
第一著者:	2-s2.0-85219574293
フォーマット:	Conference paper
言語:	English
出版事項:	Institute of Electrical and Electronics Engineers Inc. 2024
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

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