MATEC Web of Conferences
Volume 65, 20162016 The International Conference on Nanomaterial, Semiconductor and Composite Materials (ICNSCM 2016)
|Number of page(s)||3|
|Section||Intelligent Materials and Intelligent Systems|
|Published online||06 July 2016|
Artificial Neural Network Analysis of the Impact of Sample Output Accuracy
School of information Technology and Engineering,Yuxi Normal University, Yuxi, Yunnan, China
a Corresponding author: firstname.lastname@example.org
The impact of artificial neural network model output precision technology widespread attention. Quality sample study of neural network output accuracy is not much affected, most of the research is the structure (number of layers and the number of nodes), the impact of this paper to analyze samples of artificial neural network output for the neural network, to improve the output of neural network accuracy is important.
© Owned by the authors, published by EDP Sciences, 2016
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