| Neural Network Toolbox™ Release Notes | |
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Version 6.0 (R2008a) Neural Network Toolbox™ Software
This table summarizes what's new in Version 6.0 (R2008a):
| New Features and Changes |
Version Compatibility Considerations |
Fixed Bugs and Known Problems |
Related Documentation at Web Site |
| Yes Details below |
Yes--Details labeled as Compatibility Considerations, below. See also Summary. |
Bug Reports Includes fixes |
Printable Release Notes: PDF Current production documentation |
New features and changes introduced in this version are:
New Training GUI with Animated Plotting Functions
Training networks with the train function now automatically opens a window that shows the network diagram, training algorithm names, and training status information.
The window also includes buttons for plots associated with the network being trained. These buttons launch the plots during or after training. If the plots are open during training, they update every epoch, resulting in animations that make understanding network performance much easier.
The training window can be opened and closed at the command line as follows:
Two plotting functions associated with the most networks are:
plotperform--Plot performance.
plottrainstate--Plot training state.
Compatibility Considerations
To turn off the new training window and display command-line output (which was the default display in previous versions), use these two training parameters:
New Pattern Recognition Network, Plotting, and Analysis GUI
The nprtool function opens a GUI wizard that guides you to a neural network solution for pattern recognition problems. Users can define their own problems or use one of the new data sets provided.
The newpr function creates a pattern recognition network at the command line. Pattern recognition networks are feed-forward networks that solve problems with Boolean or 1-of-N targets and have confusion (plotconfusion) and receiver operating characteristic (plotroc) plots associated with them.
The new confusion function calculates the true/false, positive/negative results from comparing network output classification with target classes.
New Clustering Training, Initialization, and Plotting GUI
The nctool function opens a GUI wizard that guides you to a self-organizing map solution for clustering problems. Users can define their own problem or use one of the new data sets provided.
The initsompc function initializes the weights of self-organizing map layers to accelerate training. The learnsomb function implements batch training of SOMs that is orders of magnitude faster than incremental training. The newsom function now creates a SOM network using these faster algorithms.
Several new plotting functions are associated with self-organizing maps:
plotsomhits--Plot self-organizing map input hits.
plotsomnc--Plot self-organizing map neighbor connections.
plotsomnd--Plot self-organizing map neighbor distances.
plotsomplanes--Plot self-organizing map input weight planes.
plotsompos--Plot self-organizing map weight positions.
plotsomtop--Plot self-organizing map topology.
Compatibility Considerations
You can call the newsom function using conventions from earlier versions of the toolbox, but using its new calling conventions gives you faster results.
New Network Diagram Viewer and Improved Diagram Look
The new neural network diagrams support arbitrarily connected network architectures and have an improved layout. Their visual clarity has been improved with color and shading.
Network diagrams appear in all the Neural Network Toolbox graphical interfaces. In addition, you can open a network diagram viewer of any network from the command line by typing
New Fitting Network, Plots and Updated Fitting GUI
The newfit function creates a fitting network that consistes of a feed-forward backpropagation network with the fitting plot (plotfit) associated with it.
The nftool wizard has been updated to use newfit, for simpler operation, to include the new network diagrams, and to include sample data sets. It now allows a Simulink® block version of the trained network to be generated from the final results panel.
Compatibility Considerations
The code generated by nftool is different the code generated in previous versions. However, the code generated by earlier versions still operates correctly.
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| Summary by Version | Version 5.1 (R2007b) Neural Network Toolbox™ Software | |
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