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Definition of "self-organizing neural tree (SONT)" |
a tree-like network of self-organizing neural networks, each node of which is a Kohonen network. Each of the neurons in the higher level networks has its child network in the lower level of the tree hierarchy. The training method is similar to that of Kohonen’s method, but is conducted hierarchically. From the top (root) of the tree down, the winner of the current self-organizing network is found as the closest neuron to the training example. The weights of the winner and its neighbors are updated, and then the child network of the winner will be selected as the current network for further examination until a leaf node network is encountered. This kind of network of neural networks can be useful for complex hierarchical clustering/classification. However, the utilization of the neurons may become poor as the network size growing if the uniform tree structure is adopted. The utilization may be improved if carefully designed structure is used but how to obtain an optimum structure remains an issue. Self-generating neural network (SGNN) may be a solution to this problem. |
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