Classification of Agarwood Types (Malaccensis and Crassna) Between Oil and Smoke Using E-Nose with CBR Classifier

Autor:	Muhamad Faruqi Zahari, Hadi Manap, Nurdiyana Zahed, Muhammad Sharfi Najib, Suhaimi Mohd Daud, Nur Farina Hamidon Majid, Mujahid Mohamad, Suziyanti Zaib
Rok vydání:	2020
Předmět:	Smoke Electronic nose business.industry Computer science engineering Pattern recognition Artificial intelligence Agarwood engineering.material business Classifier (UML)
Zdroj:	Lecture Notes in Electrical Engineering ISBN: 9789811523168
DOI:	10.1007/978-981-15-2317-5_20
Popis:	The issue of quality of agarwood quality among sellers and buyers is still ongoing due to manual olfactory methods. This study purpose classification of Malaccensis and Crassna agarwood in oil and smoke by electronic nose using Case-based Reasoning classifier. The CBR performance measurement shows that classification of agarwood Malaccensis and Crassna for both oil and smoke using CBR technique can achieve 100% classification success.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::cbaec54e05b04d9c12c89ae0df965163 https://doi.org/10.1007/978-981-15-2317-5_20 Zobrazit plný text záznamu