Research on the Prediction of Drug Sales Based on Levenberg-Marquardt Algorithm

Xue Feng Jiang

doi:10.4028/www.scientific.net/AMM.198-199.1452

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 198-199Research on the Prediction of Drug Sales Based on...

Research on the Prediction of Drug Sales Based on Levenberg-Marquardt Algorithm

Abstract:

Prediction of drug sales trend is very important for the drug production planning and inventory. The paper studies the BP neural network and presents a kind of method based on reformative neural network to solve the issue of prediction of drug sales. Compare with traditional BP algorithm, the result reveals that this algorithm has structure rationalization and rapid constringency velocity. The experimental results demonstrate that the prediction model based on Levenberg_Marquardt algorithm is good at predicting drug sales.

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Periodical:

Applied Mechanics and Materials (Volumes 198-199)

Pages:

1452-1456

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.198-199.1452

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Online since:

September 2012

Authors:

Xue Feng Jiang

Keywords:

Artificial Neural Network (ANN), Drug Sales, LMBP Algorithm, Prediction Model

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