Dynamic quantum-inspired particle swarm optimization as feature and parameter optimizer for evolving spiking neural networks

• Main Authors: Abdull Hamed, Haza Nuzly, Kasabov, Nikola, Shamsuddin, Siti Mariyam
• Format: Article
• Published: International Association of Computer Science and Information Technology Press (IACSIT Press) 2012
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software
• Online Access: http://eprints.utm.my/id/eprint/31762/; http://dx.doi.org/10.7763/IJMO.2012.V2.108
• Institution: Universiti Teknologi Malaysia

This paper proposes a new structure for Quantum-inspired Particle Swarm Optimization (QiPSO) to enhance feature and parameter optimization of Evolving Spiking Neural Networks (ESNN). The new Dynamic Quantum-inspired Particle Swarm Optimization (DQiPSO) will be integrated within ESNN where features a...