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Search Results for Collection: KEDRI - the Knowledge Engineering and Discovery Research Institute

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Quantum-inspired feature and parameter optimization of evolving spiking neural networks with a case study from ecological modelling

Schliebs, S; Defoin-Platel, M; Worner, S; Kasabov, N (AUT University, IEEE; 2009)

The paper introduces a framework and implementation of an integrated connectionist system, where the features and the parameters of an evolving spiking neural network are optimised together using a quantum representation ...
Integrated feature and parameter optimization for an evolving spiking neural network

Schliebs, S; Defoin-Platel, M; Kasabov, N (AUT University, Springer; 2009)

This study extends the recently proposed Evolving Spiking Neural Network (ESNN) architecture by combining it with an optimization algorithm, namely the Versatile Quantum-inspired Evolutionary Algorithm (vQEA). Following ...

Now showing items 1-2 of 2