org.encog.neural.networks.training.lma Class JacobianChainRule

```java.lang.Object
org.encog.neural.networks.training.lma.JacobianChainRule
```
All Implemented Interfaces:
ComputeJacobian

`public class JacobianChainRuleextends Objectimplements ComputeJacobian`

Calculate the Jacobian using the chain rule. ---------------------------------------------------- This implementation of the Levenberg Marquardt algorithm is based heavily on code published in an article by Cesar Roberto de Souza. The original article can be found here: http://crsouza.blogspot.com/2009/11/neural-network-learning-by-levenberg_18.html Portions of this class are under the following copyright/license. Copyright 2009 by Cesar Roberto de Souza, Released under the LGPL.

Constructor Summary
```JacobianChainRule(BasicNetwork network, MLDataSet indexableTraining)```
Construct the chain rule calculation.

Method Summary
` double` `calculate(double[] weights)`
Calculate the Jacobian matrix.
` double` `getError()`

` double[][]` `getJacobian()`

` double[]` `getRowErrors()`

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

Constructor Detail

JacobianChainRule

```public JacobianChainRule(BasicNetwork network,
MLDataSet indexableTraining)```
Construct the chain rule calculation.

Parameters:
`network` - The network to use.
`indexableTraining` - The training set to use.
Method Detail

calculate

`public double calculate(double[] weights)`
Calculate the Jacobian matrix.

Specified by:
`calculate` in interface `ComputeJacobian`
Parameters:
`weights` - The weights for the neural network.
Returns:
The sum squared of the weights.

getError

`public double getError()`
Returns:
The sum squared errors.

getJacobian

`public double[][] getJacobian()`
Specified by:
`getJacobian` in interface `ComputeJacobian`
Returns:
The Jacobian matrix.

getRowErrors

`public double[] getRowErrors()`
Specified by:
`getRowErrors` in interface `ComputeJacobian`
Returns:
The errors for each row of the Jacobian.

Copyright © 2011. All Rights Reserved.