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- W2375342046 abstract "This paper resolves the problem of selecting structural parameters, learning rate and improves BP algorithm of artificial neural network, the self-adjusting algorithm of all parameters has been proposed for the back-propagation learning, and programmed a C language procedure. It can make the selection of hidden layer units and learning rate easily in the course of training, reduce external interference and improve the adaptive ability of learning rate and neural network. Our conclusion shows that the self-adjusting BP algorithm of all parameters is superior to the statistical modelings approach, the model of artificial neural network in tracing can not only exactly imitate training valuation but also make prediction accurately." @default.
- W2375342046 created "2016-06-24" @default.
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- W2375342046 date "2001-01-01" @default.
- W2375342046 modified "2023-09-25" @default.
- W2375342046 title "The Improvement of BP Algorithm and Self-Adjustment of Structural Parameters" @default.
- W2375342046 hasPublicationYear "2001" @default.
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