Details Details PDF BIBTEX RIS 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 Mariam Abdul-Zahra Raheem ; Ehab AbdulRazzaq Hussein 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.