Classification of Paper Quality Using Neural Networks
this example as a Mathematica notebook.
This example shows how vector quantization, radial basis function, and
feedforward networks compare when they are used to classify the data from a
hybrid gas array sensor, an electronic nose, that is recording the odors of
different cardboard papers from commercial manufacturers. The neural
classifiers are trained to determine the origin of an unknown sample.
Vector Quantization Network
Radial Basis Function Network