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Definition of "hierarchical feature map" |
a hybrid learning network structure also called counter propagation network that consists of a unsupervised (hidden) layer and a supervised layer. The first layer uses the typical (instar) competitive learning, the output will be sent to the second layer, and an outstar supervised learning is performed to produce the result. |
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