The Kohonen self-organizing map (SOM) network performs a mapping from input vectors to a output vectors, preserving the topological properties of the input. This means that vectors close to each other in the input space are mapped to the same or neighboring neurons in the output space. It can be used for visualization or sorting of high dimensional data. [http://en.wikipedia.org/wiki/Kohonen]
To create and train Kohonen neural network with easyNeurons do the following:
Step 1. To create Neuroph project click File > New Project.
Select Neuroph Project, click Next.
Enter project name and location, click Finish.
This created the project, next create neural network.
Step 2. To create Kohonen network click File > New File
Select Neural Network file type, click next.
Enter network name, select Kohonen network type, click next.
Enter number of neurons in input and output layer and click Finish button.
This will create the Kohonen neural network
Now lets train this simple network, to learn from data. First we have to create the training set
Step 3. In main menu click File >New File to open training set wizard.
Select Training set file type, then click next.
Step 4. Train network : Select training set and click train button.
TODO
Step 5. Test network: Select training set and click test button.
TODO
To learn more about BAM network see: