مورد إلكتروني

Time series prediction using deep echo state networks

التفاصيل البيبلوغرافية
العنوان: Time series prediction using deep echo state networks
عناروين إضافية: Bucknell University Honors Theses Collection
المؤلفون: Kim, Taehwan
المصدر: Honors Theses
بيانات النشر: Bucknell Digital Commons 2020-01-01T08:00:00Z
نوع الوثيقة: Electronic Resource
وصف مادي: 1 electronic text ; pdf file
مستخلص: Artificial neural networks have been used for time series modeling and forecasting in many domains. However, they are often limited in their handling of nonlinear and chaotic data. More recently, reservoir-based recurrent neural net systems, most notably Echo State Networks (ESN), have made substantial improvements for time series modeling. Their shallow nature lend themselves to an efficient training method, but have limitations on non-stationary, non-linear chaotic time series, particularly large, multidimensional time series. In this paper, we propose a novel approach for forecasting time series data based on an additive decomposition (AD) applied to the time series as a preprocessor to a deep echo state network. We compare the performance of our method, AD-DeepESN, on popular neural net architectures used for time series prediction. Stationary and non-stationary data sets are used to evaluate the performance of the methods. Our results are compelling, demonstrating that AD-DeepESN has superior performance, particularly on the most challenging time series that exhibit non-stationarity and chaotic behavior compared to existing methods.
الموضوعات: Neural networks (Computer science), Neural circuitry., Echo state networks., Time-series analysis., Neural Networks, Computer, Nerve Net, Réseaux neuronaux (Informatique), Réseaux nerveux., Série chronologique., Neural circuitry, Neural networks (Computer science), Time-series analysis
مصطلحات الفهرس: text
URL: https://digitalcommons.bucknell.edu/cgi/viewcontent.cgi?article=1536&context=honors_theses
https://digitalcommons.bucknell.edu/honors_theses/535
Bucknell University Honors Theses Collection
الإتاحة: Open access content. Open access content
ملاحظة: Keywords assigned by author: time series forecasting, reservoir computing, echo state network, additive decomposition, recurrent neural network
أرقام أخرى: PBU oai:digitalcommons.bucknell.edu:honors_theses-1536
https://digitalcommons.bucknell.edu/honors_theses/535
https://digitalcommons.bucknell.edu/cgi/viewcontent.cgi?article=1536&context=honors_theses
1155000033
المصدر المساهم: From OAIster®, provided by the OCLC Cooperative.
رقم الأكسشن: edsoai.on1155000033
قاعدة البيانات: OAIster