On the probabilistic optimization of spiking neural networks
S Schliebs, N Kasabov… - International Journal of …, 2010 - World Scientific
The construction of a Spiking Neural Network (SNN), ie the choice of an appropriate
topology and the configuration of its internal parameters, represents a great challenge for …
topology and the configuration of its internal parameters, represents a great challenge for …
Analyzing the dynamics of the simultaneous feature and parameter optimization of an evolving spiking neural network
S Schliebs, M Defoin-Platel… - The 2010 International …, 2010 - ieeexplore.ieee.org
This study investigates the characteristics of the Quantum-inspired Spiking Neural Network
(QiSNN) feature selection and classification framework. The self-adapting nature of QiSNN …
(QiSNN) feature selection and classification framework. The self-adapting nature of QiSNN …
Heterogeneous probabilistic models for optimisation and modelling of evolving spiking neural networks
S Schliebs - 2010 - openrepository.aut.ac.nz
This thesis proposes a novel feature selection and classification method employing evolving
spiking neural networks (eSNN) and evolutionary algorithms (EA). The method is named the …
spiking neural networks (eSNN) and evolutionary algorithms (EA). The method is named the …