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دسته بندی:
شبکه های نورونی - neuron-networks
سال انتشار:
2020
عنوان انگلیسی مقاله:
Comparing of deep neural networks and extreme learning machines based on growing and pruning approach
ترجمه فارسی عنوان مقاله:
مقایسه شبکه های عصبی عمیق و دستگاههای یادگیری افراطی بر اساس رویکرد در حال رشد و هرس
منبع:
Sciencedirect - Elsevier - Expert Systems With Applications, 140 (2020) 112875. doi:10.1016/j.eswa.2019.112875
نویسنده:
Kemal Akyol
چکیده انگلیسی:
Recently, the studies based on Deep Neural Networks and Extreme Learning Machines have become prominent. The models of parameters designed in these studies have been chosen randomly and the models have been designed in this direction. The main focus of this study is to determine the ideal pa- rameters i.e. optimum hidden layer number, optimum hidden neuron number and activation function for Deep Neural Networks and Extreme Learning Machines architectures based on growing and pruning ap- proach and to compare the performances of the models designed. The performances of the models are evaluated on two datasets; Parkinson and Self-Care Activities Dataset. Multi experiments have verified that the Deep Neural Networks architectures present a good prediction performance and this architec- ture outperforms the Extreme Learning Machines.
Keywords: Deep Neural Networks | Extreme Learning Machines | Growing and pruning | Parkinson | Self-care activities
قیمت: رایگان
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