Arturo Hernández-Aguirre

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This paper introduces the design of the hyperconic multilayer perceptron (HC-MLP). Complex non-linear decision regions for classification purposes are generated by quadratic hyper-surfaces spawned by the hyperconic neurons in the hidden layer (for instance, spheres, ellipsoids, paraboloids, hyperboloids and degenerate conics). In order to generate quadratic(More)
A proposal to build dynamic neighbourhoods in PSO based on mutual information is presented in this paper. The relationship among the paths the particles follow in the search space along the iterations is measured with mutual information and particles are linked to produce a graph (a tree) with maximum mutual information. Another graph investigated is ring(More)
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