Application of BP Neural Network in Products Forecast

Cai Xia Liu

doi:10.4028/www.scientific.net/AMM.644-650.2455

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Application of BP Neural Network in Products...

Application of BP Neural Network in Products Forecast

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.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

2455-2458

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.2455

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Online since:

September 2014

Authors:

Cai Xia Liu*

Keywords:

BP Network, Hidden Layer, Product Forecast, Training Function

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* - Corresponding Author

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