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dc.contributor.authorDweib, Dr.Mohammad; Al-Quds Open University-
dc.contributor.authorAbuzir, Dr. Yousef; Al-Quds Open University-
dc.date.accessioned2018-06-03T10:25:57Z-
dc.date.available2018-06-03T10:25:57Z-
dc.identifier.citation-
dc.identifier.urihttps://dspace.qou.edu/handle/194/947-
dc.description.abstractNeural 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.-
dc.titleOptimization of the Neural Networks Parameters-
dc.date.updated2018-06-03T10:25:57Z-
Appears in Collections:Palestinian Journal of Technology and Applied Sciences (PJTAS) - المجلة الفلسطينية للتكنولوجيا والعلوم التطبيقية

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