The effect of number of training samples for artificial neural network
Other Title(s)
تأثير عدد عـينات التدريب في الشبكات العـصبية الصناعيـة
Joint Authors
Tawfiq, Lama Naji Muhammad
Tawfiq, Muhammad Naji Muhammad
Source
Ibn al-Haitham Journal for Pure and Applied Science
Issue
Vol. 23, Issue 3 (31 Dec. 2010)8 p.
Publisher
University of Baghdad College of Education for Pure Science / Ibn al-Haitham
Publication Date
2010-12-31
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Topics
Abstract AR
في هذا البحث درسنا تأثير عدد عينات التدريب في الشبكات العصبية الصناعية التي تعد ضرورية في عملية التدريب لهذا النوع من الشبكات صممنا 5 شبكات عصبية صناعية أيضا، دربنا 41 شبكة عصبية توضح كيف أن الاختيار الجيد لعدد عينات التدريب يؤدي إلى تقريب أو تمثيل جيد للدالة الحقيقية.
Abstract EN
In this paper we study the effect of the number of training samples for Artificial neural networks ( ANN ) which is necessary for training process of feed forward neural network .
Also we design 5 Ann's and train 41 Ann's which illustrate how good the training samples that represent the actual function for Ann's.
American Psychological Association (APA)
Tawfiq, Lama Naji Muhammad& Tawfiq, Muhammad Naji Muhammad. 2010. The effect of number of training samples for artificial neural network. Ibn al-Haitham Journal for Pure and Applied Science،Vol. 23, no. 3.
https://search.emarefa.net/detail/BIM-287600
Modern Language Association (MLA)
Tawfiq, Lama Naji Muhammad& Tawfiq, Muhammad Naji Muhammad. The effect of number of training samples for artificial neural network. Ibn al-Haitham Journal for Pure and Applied Science Vol. 23, no. 3 (2010).
https://search.emarefa.net/detail/BIM-287600
American Medical Association (AMA)
Tawfiq, Lama Naji Muhammad& Tawfiq, Muhammad Naji Muhammad. The effect of number of training samples for artificial neural network. Ibn al-Haitham Journal for Pure and Applied Science. 2010. Vol. 23, no. 3.
https://search.emarefa.net/detail/BIM-287600
Data Type
Journal Articles
Language
English
Notes
Includes appendix.
Record ID
BIM-287600
