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- W1968641820 abstract "BP neural network has parallel processing capabilities and a good approximation of the nonlinear mapping and gradually been widely used in the forecast. Because it is difficult to determine the BP neural network structural model, this paper presents the design ideas from six aspects. Combined with the practical example-mushroom classification, this paper presents the affect of the hidden layer, learning rate, training function on BP network and has some practical significance." @default.
- W1968641820 created "2016-06-24" @default.
- W1968641820 creator A5039036121 @default.
- W1968641820 date "2014-09-01" @default.
- W1968641820 modified "2023-09-27" @default.
- W1968641820 title "Application of BP Neural Network in Products Forecast" @default.
- W1968641820 cites W2011909934 @default.
- W1968641820 doi "https://doi.org/10.4028/www.scientific.net/amm.644-650.2455" @default.
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