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Classification procedure implemented in a hierarchical neural network, and hierarchical neural network
Classification procedure implemented in a hierarchical neural network, and hierarchical neural network
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机译：在分级神经网络中实现的分类程序和分级神经网络
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摘要
Classification procedure implemented in a tree-like neural network which, in the course of learning steps, determines with the aid of a tree- like structure the number of neurons and their synaptic coefficients required for the processing of problems of classification of multi-class examples. Each neuron tends to distinguish, from the examples, two groups of examples approximating as well as possible to a division into two predetermined groups of classes. This division can be obtained through a principal component analysis of the distribution of examples. The neural network comprises a directory of addresses of successor neurons which is loaded in learning mode then read in exploitation mode. A memory stores example classes associated with the ends of the branches of the tree.
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