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## org.encog.util.normalize.output.zaxis
Class OutputFieldZAxis

    java.lang.Object
      org.encog.util.normalize.output.BasicOutputField
          org.encog.util.normalize.output.OutputFieldGrouped
              org.encog.util.normalize.output.zaxis.OutputFieldZAxis

All Implemented Interfaces:
  Serializable, OutputField

    public class OutputFieldZAxis

extends OutputFieldGrouped

Both the multiplicative and z-axis normalization types allow a group of outputs to be adjusted so that the "vector length" is 1. Both go about it in different ways. Certain types of neural networks require a vector length of 1. Z-Axis normalization is usually a better choice than multiplicative. However, multiplicative can perform better than Z-Axis when all of the values are near zero most of the time. This can cause the "synthetic value" that z-axis uses to dominate and skew the answer. Z-Axis gets its name from 3D computer graphics, where there is a Z-Axis extending from the plane created by the X and Y axes. It has nothing to do with z-scores or the z-transform of signal theory. To implement Z-Axis normalization a scaling factor must be created to multiply each of the inputs against. Additionally, a synthetic field must be added. It is very important that this synthetic field be added to any z-axis group that you might use. The synthetic field is represented by the OutputFieldZAxisSynthetic class.

Author:
  jheaton
See Also:
  Serialized Form

Constructor Summary
`OutputFieldZAxis(OutputFieldGroup group, InputField field)` Construct a ZAxis output field.

Method Summary
`double` | `calculate(int subfield)` Calculate the current value for this field.
`int` | `getSubfieldCount()`
`void` | `rowInit()` Not needed for this sort of output field.

Methods inherited from class org.encog.util.normalize.output.OutputFieldGrouped
`getGroup, getSourceField`

Methods inherited from class org.encog.util.normalize.output.BasicOutputField
`isIdeal, setIdeal`

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Constructor Detail

### OutputFieldZAxis

    public OutputFieldZAxis(OutputFieldGroup group,
                            InputField field)

  Construct a ZAxis output field.

  Parameters:
    `group` - The group this field belongs to.
    `field` - The input field this is based on.

Method Detail

### calculate

    public double calculate(int subfield)

  Calculate the current value for this field.

  Parameters:
    `subfield` - Ignored, this field type does not have subfields.
  Returns:
    The current value for this field.

### getSubfieldCount

    public int getSubfieldCount()

  Returns:
    The subfield count, which is one, as this field type does not have subfields.

### rowInit

    public void rowInit()

  Not needed for this sort of output field.

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