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Erschienen in:
Spatial Reasoning and Planning in Sign-Based World Model Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Hybrid Neural Networks for Time Series Forecasting

verfasst von : Alexey Averkin, Sergey Yarushev

Erschienen in: Artificial Intelligence

Verlag: Springer International Publishing

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Abstract

The paper presents research in the field for hybrid neural networks for time series forecasting. A detailed review of the latest researches in this field is described. The paper includes detailed review of studies what compared the performance of multiple regression methods and neural networks. It is also consider a hybrid method of time series prediction based on ANFIS. In addition, the results of time series forecasting based on ANFIS model and com-pared with results of forecasting based on multiple regression are shown.

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Vorheriges Kapitel Mobile Robotic Table with Artificial Intelligence Applied to the Separate and Classified Positioning of Objects for Computer-Integrated Manufacturing
Nächstes Kapitel Resource Network with Limitations on Vertex Capacities: A Double-Threshold Dynamic Flow Model
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Metadaten
Titel
Hybrid Neural Networks for Time Series Forecasting
verfasst von
Alexey Averkin
Sergey Yarushev
Copyright-Jahr
2018
Buch
Artificial Intelligence

Print ISBN: 978-3-030-00616-7

Electronic ISBN: 978-3-030-00617-4

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-030-00617-4_21

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