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Back propagation neural network by comparing hidden neurons: case study on breast cancer diagnosis... This paper presents the results of a comparison among ten different hidden neuron initialization methods....

général - core.ac.uk - PDF: citeseerx.ist.psu.edu

Letter removal of hidden neurons by crosswise propagationAbstract – The hidden neuron is removed by analyzing the orthogonal projection correlations among the outputs of other hidden neurons....

PDF: citeseerx.ist.psu.edu

Pushing stochastic gradient towards second-order methods–backpropagation learning with transformations in nonlinearities. arxiv preprint arxiv:1301.3476Recently, we proposed to transform the outputs of each hidden neuron in a multi-layer perceptron network to have zero output and zero slope on average, and use separate shortcut connections to model the linear dependencies instead....

PDF: arxiv.org

Classification of radar environment using ensemble neural network with variation of hidden neuron number... Therefore, this paper proposes an ensemble neural network based classifier with a variation of hidden neuron number for classifying the radar environments....

PDF: doaj.org

Publications scientifiques

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Learning activation functions in deep neural networks

... Typical deep neural networks employ a fixed nonlinear activation function for each hidden neuron....

... Plus précisément, on vise à étudier comment les réseaux de neurones profonds de pointe pourraient efficacement prédire le but des visiteurs dans une session de visite, en utilisant uniquement des séquences d’URL....

Europe / recherche et propriété intellectuelle / activité agricole - core.ac.uk - PDF: publications.polymtl.ca