Frequency Selective Surface#

This is a frequential data set example provided with the NeurEco installation. This test case aims at predicting the frequency response of an FSS (Frequency Selctive Surface) with respect to 5 design parameters.

The \(2\) output and \(6\) input features of this test case are as follows:

Inputs

Outputs

Frequency

Transverse electric mode (TE)

Design parameter 1

Transverse magnetic mode (TM)

Design parameter 2

Design parameter 3

Design parameter 4

Design parameter 5

This test case is provided with the following files:

  • training data set containing \(1500\) samples

    • inputs_train.npy: the training inputs file

    • targets_train.npy: the training targets file

  • validation data set containing \(420\) samples

    • inputs_valid.npy: the validation inputs file

    • targets_valid.npy: the training targets file

  • testing data set containing \(9080\) samples

    • inputs_test.npy: the testing inputs file

    • targets_test.npy: the testing targets file