کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6458873 1421114 2017 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Ensembles of wrappers for automated feature selection in fish age classification
ترجمه فارسی عنوان
مجموعه ای از کلاهبرداران برای انتخاب ویژگی های خودکار در دسته بندی سن ماهی
کلمات کلیدی
دسته بندی خودکار سن ماهیانه، اقیانوس اطلس دریایی، انتخاب ویژگی، طبقه بندی نزدیکترین همسایه، تشخیص الگو، ماشین آلات بردار پشتیبانی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


- A novel feature selection method based on an ensemble of wrappers is proposed.
- It has been applied for automatically select features in fish age classification.
- The feature subsets are particularly noticeable given current biological findings.
- The classification results outperform those based on manual feature selection.

In feature selection, the most important features must be chosen so as to decrease the number thereof while retaining their discriminatory information. Within this context, a novel feature selection method based on an ensemble of wrappers is proposed and applied for automatically select features in fish age classification. The effectiveness of this procedure using an Atlantic cod database has been tested for different powerful statistical learning classifiers. The subsets based on few features selected, e.g. otolith weight and fish weight, are particularly noticeable given current biological findings and practices in fishery research and the classification results obtained with them outperforms those of previous studies in which a manual feature selection was performed.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers and Electronics in Agriculture - Volume 134, March 2017, Pages 27-32
نویسندگان
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