String pattern recognition using evolving spiking neural networks and quantum inspired particle swarm optimization

This paper proposes a novel method for string pattern recognition using an Evolving Spiking Neural Network (ESNN) with Quantum-inspired Particle Swarm Optimization (QiPSO). This study reveals an interesting concept of QiPSO by representing information as binary structures. The mechanism optimizes th...

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Bibliographic Details
Main Authors: Adbull Hamed, Haza Nuzly, Kasabov, Nikola, Michlovsky, Zbynek, Shamsuddin, Siti Mariyam
Format: Book Section
Published: Springer 2009
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Online Access:http://eprints.utm.my/id/eprint/14782/
http://dx.doi.org/10.1007/978-3-642-10684-2_68
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Institution: Universiti Teknologi Malaysia

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