Echo State Network Architectures for Time Series Forecasting
The highlight tweets about our recent paper published in Frontier Physics
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Our paper is finally published and is available online.
— Shahrokh Shahi (@shahi_shahrokh) October 5, 2021
In this paper, we showed how various architectures of Echo State Networks (ESNs) can accurately predict nonlinear time series in real-world applications, while they’re about 100X faster than other RNNs, such as LSTMs. https://t.co/MVwEtyGZZd
🎉Congrats to CSE Associate Prof. Elizabeth Cherry, Ph.D. student Shahrokh Shahi, & Postdoc Christopher D. Marcotte! 🎉
— GaTech CSE (@GTCSE) October 4, 2021
Their paper on predicting cardiac voltage data using RNNs and ESNs is now published in @FrontPhysiol and can be read here:https://t.co/Abc9nd2JsE