Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series Classification
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 5
Abstract
Hybrid LSTM-fully convolutional networks (LSTM-FCN) for time series classification have produced state-of-the-art classification results on univariate time series. We empirically show that replacing the LSTM with a gated recurrent unit (GRU) to create a GRU-fully convolutional network hybrid model (GRU-FCN) can offer even better performance on many time series datasets without further changes to the model. Our empirical study showed that the proposed GRU-FCN model also outperforms the state-of-the-art classification performance in many univariate time series datasets without additional supporting algorithms requirement. Furthermore, since the GRU uses simpler architecture than the LSTM, it has fewer training parameters, less training time, smaller memory storage requirements, and simpler hardware implementation, compared to the LSTM-based models.
Authors and Affiliations
Nelly Elsayed, Anthony S Maida, Magdy Bayoumi
Keywords
Related Articles
- EP ID EP579357
- DOI 10.14569/IJACSA.2019.0100582
- Views 80
- Downloads 0
Survey Energy Management Approaches in Data Centres
Data centers are today the technological backbone for any company. However, the failure to control energy consumption leads to very high operating costs and carbon dioxide emissions. On the other hand, reducing power con...
Virtual Calibration of Cosmic Ray Sensor: Using Supervised Ensemble Machine Learning
In this paper an ensemble of supervised machine learning methods has been investigated to virtually and dynamically calibrate the cosmic ray sensors measuring area wise bulk soil moisture. Main focus of this study was to...
An Automated approach for Preventing ARP Spoofing Attack using Static ARP Entries
ARP spoofing is the most dangerous attack that threats LANs, this attack comes from the way the ARP protocol works, since it is a stateless protocol. The ARP spoofing attack may be used to launch either denial of service...
Performance Evaluation of SIFT and Convolutional Neural Network for Image Retrieval
Convolutional Neural Network (NN) has gained a lot of attention of the researchers due to its high accuracy in classification and feature learning. In this paper, we evaluated the performance of CNN used as feature for i...
Personalized Recommender by Exploiting Domain based Expert for Enhancing Collaborative Filtering Algorithm :PReC
The large amount of information available on the internet initiated various Recommender algorithms to act as an intermediate between number of choices and internet users. Collaborative filtering is one of the most tradi...