Non-stationary Multivariate Time Series Prediction with Selective Recurrent Neural Networks

Jiexi Liu; Songcan Chen

doi:10.1007/978-3-030-29894-4_51

ScienceGate Book Chapters

BOOK-CHAPTER

Non-stationary Multivariate Time Series Prediction with Selective Recurrent Neural Networks

Jiexi Liu Songcan Chen

Year: 2019 Lecture notes in computer science Pages: 636-649 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-29894-4_51

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Recurrent neural network Artificial neural network Artificial intelligence Flexibility (engineering) Deep learning Machine learning Pattern recognition (psychology) Statistics

Metrics

Cited By

3.85

FWCI (Field Weighted Citation Impact)

Refs

0.94

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Stock Market Forecasting Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Non-stationary Multivariate Time Series Prediction with Selective Recurrent Neural Networks

Metrics

Citation History

Topics

Related Documents

Time series prediction with simple recurrent neural networks

A new optimization algorithm for non-stationary time series prediction based on recurrent neural networks

Non-Stationary Multivariate Time Series Prediction with MIX Gated Unit

Recurrent Neural Networks for Multivariate Time Series with Missing Values

Recurrent neural networks for time series prediction