Time Series Data Classification Based on Dual Path CNN-RNN Cascade Network

Time Series Data Classification Based on Dual Path CNN-RNN Cascade Network

Time series data classification is a significant topic as its application can be found in a various domain. Recent studies have shown that data-driven approach based on deep learning is powerful for data mining tasks. A typical deep learning method, Artificial Neural Network (ANN), has been proven t...

Full description

Bibliographic Details
Main Authors: Chao Yang, Wenxiang Jiang, Zhongwen Guo
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolutional neural network (CNN)-recurrent neural network (RNN) cascade model
dual path convolutional neural network
time series data classification
data mining
Online Access:https://ieeexplore.ieee.org/document/8882352/

Internet

https://ieeexplore.ieee.org/document/8882352/

Similar Items