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[3E4-GS-2-02] High-speed multivariate time series prediction using Echo State Network
Keywords:Echo State Network, Historical Time Series Prediction, Reservoir Computing
Recently, time series analysis using machine learning has been actively carried out, and it has been applied in various fields. Real-time prediction is important in real-time data prediction such as stock and traffic conditions. Many time-series prediction models perform large-scale learning using a large amount of data, so computational costs are large and impractical. In this research, we propose a time-series prediction method using Echo State Network capable of rapid learning. It was confirmed experimental that the rapid and high-performance learning model can be constructed by applying Echo State Network to the multivariate time series.
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