Optimization of the neural networks parameters
Joint Authors
Abu Zirr, Yusuf
Dweib, Muhammad
Source
Palestinian Journal of Technology and Applied Sciences
Issue
Vol. 1, Issue 1 (31 Jan. 2018), pp.34-49, 16 p.
Publisher
al-Quds Open University Deanship of Scientific Research and Graduate Studies
Publication Date
2018-01-31
Country of Publication
Palestine (West Bank)
No. of Pages
16
Main Subjects
Information Technology and Computer Science
Abstract EN
Neural Networks (NN) is an effective approach used in many fields such as medicine, industry, security, stock market prediction, character recognition, image processing and many other fields.
The main problem in the use of Artificial Neural Networks (ANN) is the control of parameters, since there is no explicit and specific way to determine the optimal values of Neural Network parameters.
The aim of this study is to choose the best parameters that can be used to model and optimize the number of hidden layers, number of neurons contained in there, momentum, delta rule, transition functions and multidimensional network.
American Psychological Association (APA)
Dweib, Muhammad& Abu Zirr, Yusuf. 2018. Optimization of the neural networks parameters. Palestinian Journal of Technology and Applied Sciences،Vol. 1, no. 1, pp.34-49.
https://search.emarefa.net/detail/BIM-845708
Modern Language Association (MLA)
Dweib, Muhammad& Abu Zirr, Yusuf. Optimization of the neural networks parameters. Palestinian Journal of Technology and Applied Sciences Vol. 1, no. 1 (Jan. 2018), pp.34-49.
https://search.emarefa.net/detail/BIM-845708
American Medical Association (AMA)
Dweib, Muhammad& Abu Zirr, Yusuf. Optimization of the neural networks parameters. Palestinian Journal of Technology and Applied Sciences. 2018. Vol. 1, no. 1, pp.34-49.
https://search.emarefa.net/detail/BIM-845708
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 46-49
Record ID
BIM-845708