Financial Time Series Prediction Using Spiking Neural Networks

David Reid; Abir Jaafar Hussain; Hissam Tawfik

doi:10.1371/journal.pone.0103656

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Open Access

Peer-reviewed

Research Article

Financial Time Series Prediction Using Spiking Neural Networks

David Reid ,

* E-mail: reidd@hope.ac.uk

Affiliations Department of Mathematics and Computer Science, Liverpool Hope University, Liverpool, United Kingdom, School of Computing and Mathematical Sciences Liverpool John Moores University Liverpool, United Kingdom
⨯
Abir Jaafar Hussain,

Affiliations Department of Mathematics and Computer Science, Liverpool Hope University, Liverpool, United Kingdom, School of Computing and Mathematical Sciences Liverpool John Moores University Liverpool, United Kingdom
⨯
Hissam Tawfik

Affiliations Department of Mathematics and Computer Science, Liverpool Hope University, Liverpool, United Kingdom, School of Computing and Mathematical Sciences Liverpool John Moores University Liverpool, United Kingdom
⨯

Financial Time Series Prediction Using Spiking Neural Networks

David Reid,
Abir Jaafar Hussain,
Hissam Tawfik

Published: August 29, 2014
https://doi.org/10.1371/journal.pone.0103656

About the Authors

David Reid

* E-mail: reidd@hope.ac.uk

Affiliations Department of Mathematics and Computer Science, Liverpool Hope University, Liverpool, United Kingdom, School of Computing and Mathematical Sciences Liverpool John Moores University Liverpool, United Kingdom

Abir Jaafar Hussain

Hissam Tawfik

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: DR AJH. Performed the experiments: DR AJH. Analyzed the data: DR AJH HT. Contributed reagents/materials/analysis tools: DR AJH HT. Wrote the paper: DR AJH HT.

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Neural networks
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Finance
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Forecasting
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Neurons
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Afferent neurons
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Action potentials
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Oils
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Signaling networks
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