On Feature Selection and Rule Extraction for High Dimensional Data: A Case of Diffuse Large B-Cell Lymphomas Microarrays Classification

Algorithm 1

While (performance ≤ threshold)

  Compute the delta values (local gradient values) at the output nodes using (7)

  Update weights between hidden and output layers using (8)

  For each input features

    If (hidden node connecting to input feature belongs to informative class)

      Compute the delta values (local gradient values) at the output nodes using (9)

      Update mean and standard deviation using (10)

    Else

      Retain original values

    End If

  End For

End While