Metamaterial Antennas

This is a regression data set that comes with the NeurEco installation. This test case involves the prediction of the performance of an antenna, using its internal properties. The test case is provided with the following files:

• Training data set containing \(457\) samples

  • x_train.csv: the training inputs file

  • y_train.csv: the training targets file

• Testing data set containing \(113\) samples

  • x_test.csv: the testing inputs file

  • y_test.csv: the testing targets file

The \(7\) input and \(6\) output features of this test case are as follows:

Inputs	Outputs
wm: width and height of the SRR cells	s: return loss of the antenna
w0m: gap between rings	pr: power radiated by the antenna
dm: distance between rings	pa: power accepted by the antenna
rows: number of SRR cells in an array	gain: Antenna gain
Xa: distance between antenna patch and array	bandwidth: Antenna bandwidth
Ya: distance between SRR cells in the array	vswr: voltage standing wave ratio
tm: width of the rings