Long short-term memory neural network for network traffic prediction

@article{Zhuo2017LongSM,
  title={Long short-term memory neural network for network traffic prediction},
  author={Qinzheng Zhuo and Qianmu Li and Han Yan and Yong Qi},
  journal={2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)},
  year={2017},
  pages={1-6}
}
This paper proposes a model of neural network which can be used to combine Long Short Term Memory networks (LSTM) with Deep Neural Networks (DNN). Autocorrelation coefficient is added to model to improve the accuracy of prediction model. It can provide better than the other traditional precision of the model. And after considering the autocorrelation features, the neural network of LSTM and DNN has certain advantages in the accuracy of the large granularity data sets. Several experiments were… CONTINUE READING
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