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Optimization of the Neural Networks Parameters

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dc.contributor.author Dweib, Dr.Mohammad; Al-Quds Open University
dc.contributor.author Abuzir, Dr. Yousef; Al-Quds Open University
dc.date.accessioned 2018-06-03T10:25:57Z
dc.date.available 2018-06-03T10:25:57Z
dc.identifier.citation
dc.identifier.uri https://dspace.qou.edu/handle/194/947
dc.description.abstract 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.
dc.title Optimization of the Neural Networks Parameters
dc.date.updated 2018-06-03T10:25:57Z


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