A New Feature Selection Algorithm Based on the Mean Impact Variance
المؤلفون المشاركون
Gao, Robert X.
Wen, Weigang
Wang, Tianyang
Cheng, Weidong
Li, Jianyong
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-06-26
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
The selection of fewer or more representative features from multidimensional features is important when the artificial neural network (ANN) algorithm is used as a classifier.
In this paper, a new feature selection method called the mean impact variance (MIVAR) method is proposed to determine the feature that is more suitable for classification.
Moreover, this method is constructed on the basis of the training process of the ANN algorithm.
To verify the effectiveness of the proposed method, the MIVAR value is used to rank the multidimensional features of the bearing fault diagnosis.
In detail, (1) 70-dimensional all waveform features are extracted from a rolling bearing vibration signal with four different operating states, (2) the corresponding MIVAR values of all 70-dimensional features are calculated to rank all features, (3) 14 groups of 10-dimensional features are separately generated according to the ranking results and the principal component analysis (PCA) algorithm and a back propagation (BP) network is constructed, and (4) the validity of the ranking result is proven by training this BP network with these seven groups of 10-dimensional features and by comparing the corresponding recognition rates.
The results prove that the features with larger MIVAR value can lead to higher recognition rates.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Cheng, Weidong& Wang, Tianyang& Wen, Weigang& Li, Jianyong& Gao, Robert X.. 2014. A New Feature Selection Algorithm Based on the Mean Impact Variance. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-500664
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Cheng, Weidong…[et al.]. A New Feature Selection Algorithm Based on the Mean Impact Variance. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-500664
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Cheng, Weidong& Wang, Tianyang& Wen, Weigang& Li, Jianyong& Gao, Robert X.. A New Feature Selection Algorithm Based on the Mean Impact Variance. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-500664
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-500664
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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