Determining significance of input neurons for probabilistic neural network by sensitivity analysis procedure
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DOI: 10.1111/coin.12149
Abstract: In classical feedforward neural networks such as multilayer perceptron, radial basis function network, or counter‐propagation network, the neurons in the input layer correspond to features of the training patterns. The number of these features may… read more here.
Keywords: network; input; procedure; determining significance ... See more keywords