![](/images/graphics-bg.png)
Identification of Chinese Herbal Medicines from Zingiberaceae Family Using Feature Extraction and Cascade Classifier Based on Response Signals from E-Nose
المؤلفون المشاركون
Zou, Hui-Qin
Liu, Yong
Bauer, Rudolf
Peng, Lian
Tao, Ou
Yan, Su-Rong
Yan, Yong-Hong
Han, Yu
Li, Jia-Hui
Ren, Zhi-Yu
المصدر
Evidence-Based Complementary and Alternative Medicine
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-06-18
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
Identification of Chinese herbal medicines (CHMs) by human experience is often inaccurate because individual ability and external factors may influence the outcome.
However, it might be promising to employ an electronic nose (E-nose) to identify them.
This paper presents a rapid and reliable method for identification of ten different species of CHMs from Zingiberaceae family based on their response signals from E-nose.
Ten Zingiberaceae CHMs were measured and their maximum response values were analyzed by principal component analysis (PCA).
Result shows that E Zhu (Curcuma phaeocaulis Val.) and Yi Zhi (Alpinia oxyphylla Miq.) could not be distinguished completely by PCA.
Two solutions were proposed: (i) using BestFirst+CfsSubsetEval (BC) method to extract more discriminative features to select sensors with higher contribution rate and remove the redundant signals; (ii) employing a novel cascade classifier with two stages to enhance the distinguishing-positive rate (DPR).
Based on these strategies, six features were extracted and used in different stages of the cascade classifier with higher DPRs.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Peng, Lian& Zou, Hui-Qin& Bauer, Rudolf& Liu, Yong& Tao, Ou& Yan, Su-Rong…[et al.]. 2014. Identification of Chinese Herbal Medicines from Zingiberaceae Family Using Feature Extraction and Cascade Classifier Based on Response Signals from E-Nose. Evidence-Based Complementary and Alternative Medicine،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1035497
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Peng, Lian…[et al.]. Identification of Chinese Herbal Medicines from Zingiberaceae Family Using Feature Extraction and Cascade Classifier Based on Response Signals from E-Nose. Evidence-Based Complementary and Alternative Medicine No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1035497
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Peng, Lian& Zou, Hui-Qin& Bauer, Rudolf& Liu, Yong& Tao, Ou& Yan, Su-Rong…[et al.]. Identification of Chinese Herbal Medicines from Zingiberaceae Family Using Feature Extraction and Cascade Classifier Based on Response Signals from E-Nose. Evidence-Based Complementary and Alternative Medicine. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1035497
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1035497
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
![](/images/ebook-kashef.png)
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
![](/images/kashef-image.png)