Stochastic methods and genetic algorithms for neural network learning
This thesis presents results from the developemnt, investigation, testing and evaluation of novel meta-heuristic techniques aiming to further improve the <i>state-of-the-art </i>of algorithms for local minima free Neural Network supervised learning. Several approaches for solving Global...
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University of Portsmouth
2008
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| Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.478916 |