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Showing 1 to 1 of 1 for “"GRNNs"”.

  1. Improving partial mutual information based input variable selection for data driven environmental and water resources models

    … done using general regression neural networks (GRNNs), which also require estimates of kernel bandwidths to be obtained and therefore suffers from the same issues as MI/PMI estimation. The purpose of this thesis is to assess the impact the assumption that the data follow a Gaussian distribution …

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