Over-Fitting Problem Solution with Back-Propagation Neural Network
| المصدر: | مجلة كلية التنمية البشرية |
|---|---|
| الناشر: | جامعة أم درمان الإسلامية - كلية التنمية البشرية |
| المؤلف الرئيسي: | Ali, Omar Balola (Author) |
| المجلد/العدد: | ع4 |
| محكمة: | نعم |
| الدولة: |
السودان |
| التاريخ الميلادي: |
2018
|
| التاريخ الهجري: | 1439 |
| الشهر: | يناير |
| الصفحات: | 13 - 28 |
| رقم MD: | 1020426 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | IslamicInfo, HumanIndex |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
lsolated Handwritten Arabic Character Recognition | Back Propagation | Feature Extraction | Over fitting
|
| رابط المحتوى: |
عدد مرات التحميل
2
| المستخلص: |
In this paper, we presented three methods for manipulate the over fitting problem, which it done by using the Back Propagation algorithm. Various experiments were done for over fitting problem have discussed. To address over fitting problem, which reflected by the difference between testing and training results, some over fitting solutions have been testing and their results are encouraged. All experiments were done using Handwritten Arabic Characters data set and the performance obtained is robust. |
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