Supervised learning for self-generating neural network
Supervised learning for self-generating neural network there are two ways for supervised learning in sgnn. The first is the same as that of supervised learning for a selforganizing system. The second is to make use of information gains of the attributes to the classification. That is, use the inner product of the training vector and the information gain vector corresponding to its attributes to train the network. Experiments show that this way of supervised learning for sgnn can significantly improve both the performance of the network and the training speed. See also self-generating neural network, information gain, learning vector quantization.
Source: http://ee.sharif.edu/~lcsl/useful/Electrical%20Engineering%20Dictionary.pdf
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Author of the text: Ed. P.A. Laplante Boca Raton: CRC Press LLC, 2000
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