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Computer Based Stylometric Analysis of Texts in Polish Language Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Convolutional Neural Networks for Time Series Classification

Authors : Mariusz Zȩbik, Marcin Korytkowski, Rafal Angryk, Rafał Scherer

Published in: Artificial Intelligence and Soft Computing

Publisher: Springer International Publishing

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Abstract

This article concerns identifying objects generating signals from various sensors. Instead of using traditional hand-made time series features we feed the signals as input channels to a convolutional neural network. The network learned low- and high-level features from data. We describe the process of data preparation, filtering, and the structure of the convolutional network. Experiment results showed that the network was able to learn to recognize objects with high accuracy.

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Metadata
Title
Convolutional Neural Networks for Time Series Classification
Authors
Mariusz Zȩbik
Marcin Korytkowski
Rafal Angryk
Rafał Scherer
Copyright Year
2017
Book
Artificial Intelligence and Soft Computing

Print ISBN: 978-3-319-59059-2

Electronic ISBN: 978-3-319-59060-8

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-59060-8_57

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