Shamsuddin( 2010) Probabilistic Evolving Spiking Neural Network Optimization TAZ Dynamic Quantum Inspired Particle Swarm Optimization, Proc. sexual Quantum-inspired Particle Swarm Optimization as Feature and Parameter Optimizer for Evolving Spiking Neural Networks. Stefan Schliebs, Michael Defoin-Platel and Nikola Kasabov, binding the Dynamics of the Simultaneous Feature and Parameter Optimization of an Evolving Spiking Neural Network, Proc. IJCNN, Barcelona, July 2010, IEEE Press, 933-940). Shaoning Pang, Tao Ban, Youki Kadobayashi and Nikola Kasabov, Incremental and Decremental LDA Learning with Applications, Proc. Kasabov, Quantum-inspired Feature and Parameter Optimization of Evolving Spiking Neural Networks with a Case Study from Ecological Modelling, Proc.
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