| Neural Network Toolbox | |
Architecture
The architecture for this SOFM is shown below.
This architecture is like that of a competitive network, except no bias is used here. The competitive transfer function produces a 1 for output element a1i corresponding to 
,the winning neuron. All other output elements in a1 are 0.
Now, however, as described above, neurons close to the winning neuron are updated along with the winning neuron. As described previously, one can chose from various topologies of neurons. Similarly, one can choose from various distance expressions to calculate neurons that are close to the winning neuron.
| | Distance Funct. (dist, linkdist, mandist, boxdist) | Creating a Self-Organizing MAP Neural Network (newsom) | |
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