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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| Main Authors: | , , , |
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| Format: | Book Section |
| Published: |
Springer
2009
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| Subjects: | |
| Online Access: | http://eprints.utm.my/14782/ http://eprints.utm.my/14782/ http://eprints.utm.my/14782/ |
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