Details

Title

Classification of EEG Signals Using Quantum Neural Network and Cubic Spline

Journal title

International Journal of Electronics and Telecommunications

Yearbook

2016

Volume

vol. 62

Issue

No 4

Authors

Divisions of PAS

Nauki Techniczne

Publisher

Polish Academy of Sciences Committee of Electronics and Telecommunications

Date

2016

Identifier

DOI: 10.1515/eletel-2016-0055 ; eISSN 2300-1933 (since 2013) ; ISSN 2081-8491 (until 2012)

Source

International Journal of Electronics and Telecommunications; 2016; vol. 62; No 4

References

Maojun Cao (2009), Fuhua Shang Quantum Neural Networks with application in adjusting PID parameters, IEEE. ; Dianbao Mu (2013), and others Learning Algorithm and Application of Quantum Neural Networks with Quantum Weights of Computer Theory and Engineering, International Journal, 5. ; Ajith Abraham (2005), Handbook of Measuring System Design Oklahoma State University Stillwater OK, USA. ; Professor (2010), Approximation by Spline Functions lecture of Computer University of Kentucky Lexington November, Science, 1. ; Saeid Sanei (2007), EEG signal processing Cardiff University, England. ; Daqi Zhu (2007), A Multi - layer Quantum Neural Networks Recognition System for Handwritten Digital Recognition, IEEE. ; David Friedman (2000), Event - Related Potential Studies of Memory Encoding and Retrieval Selective Microscopy Research and Technique New York, Review. ; Shicai Yu (2008), Quantum Neural Network and its Application in Vehicle Classification, IEEE. ; Gopathy Purushothaman (1997), Quantum Neural Networks Inherently Fuzzy Feedforward Neural Networks, IEEE, 8.

Open Access Policy

International Journal of Electronics and Telecommunications is an open access journal with all content available with no charge in full text version.


The journal content is available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/.


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