Optimization of the Neural Networks Parameters
Keywords:
ANN, optimization, BP neural network, hidden layers, momentum, delta rule, transition functions, and multidimensional network.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.
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Published
2017-11-28
How to Cite
Dweib, D., & Abuzir, D. Y. (2017). Optimization of the Neural Networks Parameters. Palestinian Journal of Technology and Applied Sciences (PJTAS), 1(1). Retrieved from https://journals.qou.edu/index.php/PJTAS/article/view/1439
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