LinearUnit

java.lang.Object
- weka.classifiers.functions.neural.LinearUnit

All Implemented Interfaces:

java.io.Serializable, NeuralMethod, RevisionHandler
```
public class LinearUnit
extends java.lang.Object
implements NeuralMethod, RevisionHandler
```
This can be used by the neuralnode to perform all it's computations (as a Linear unit).

Version:

$Revision: 1.7 $

Author:

Malcolm Ware (mfw4@cs.waikato.ac.nz)

See Also:

Serialized Form

Constructor Summary

Constructors
Constructor Description

LinearUnit()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double`	`errorValue(NeuralNode node)`	This function calculates what the error value should be.
`java.lang.String`	`getRevision()`	Returns the revision string.
`double`	`outputValue(NeuralNode node)`	This function calculates what the output value should be.
`void`	`updateWeights(NeuralNode node, double learn, double momentum)`	This function will calculate what the change in weights should be and also update them.

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

- Constructor Detail
  - LinearUnit
```
public LinearUnit()
```
- Method Detail
  - outputValue
```
public double outputValue(NeuralNode node)
```
    This function calculates what the output value should be.
    
    Specified by:
    
    outputValue in interface NeuralMethod
    
    Parameters:
    
    node - The node to calculate the value for.
    
    Returns:
    
    The value.
  - errorValue
```
public double errorValue(NeuralNode node)
```
    This function calculates what the error value should be.
    
    Specified by:
    
    errorValue in interface NeuralMethod
    
    Parameters:
    
    node - The node to calculate the error for.
    
    Returns:
    
    The error.
  - updateWeights
```
public void updateWeights(NeuralNode node,
                          double learn,
                          double momentum)
```
    This function will calculate what the change in weights should be and also update them.
    
    Specified by:
    
    updateWeights in interface NeuralMethod
    
    Parameters:
    
    node - The node to update the weights for.
    
    learn - The learning rate to use.
    
    momentum - The momentum to use.
  - getRevision
```
public java.lang.String getRevision()
```
    Returns the revision string.
    
    Specified by:
    
    getRevision in interface RevisionHandler
    
    Returns:
    
    the revision