An input neuron represents the normalized value for an input field. A numeric input field is usually mapped to a
single input neuron while a categorical input field is usually mapped to a set of input neurons using some fan-out
function. The normalization is defined using the elements NormContinuous and NormDiscrete defined in the
Transformation Dictionary. The element DerivedField is the general container for these transformations.
An input neuron represents the normalized value for an input field. A numeric input field is usually mapped to a single input neuron while a categorical input field is usually mapped to a set of input neurons using some fan-out function. The normalization is defined using the elements NormContinuous and NormDiscrete defined in the Transformation Dictionary. The element DerivedField is the general container for these transformations.