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