Optimization Method of Coal Sample in Ash Prediction Model Based on Near Infrared Spectroscopy

عرض إصدارات أخرى (1)

According to the unique problem of sample data in ash prediction model based on near infrared spectroscopy, an optimization method was proposed. Principal component analysis method is used for eliminating abnormal samples in coal sample set and extracting feature information of coal spectrum. A doub...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Gong-kuang zidonghua
المؤلفون الرئيسيون: ZHAO Kai, LEI Meng
التنسيق: مقال
اللغة:الصينية
منشور في: Editorial Department of Industry and Mine Automation 2012-09-01
الموضوعات:
coal quality analysis, coal ash, optimization of coal sample, ash prediction model, near infrared spectroscopy, spectrum feature of coal, double-level clustering method
الوصول للمادة أونلاين:http://www.gkzdh.cn/article/id/8617

الانترنت

http://www.gkzdh.cn/article/id/8617

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