| Application of BP Neural Networks in Inventory Dynamic Modeling |
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| 引用本文： | LUO Bing,HUANG Wan-jie,YANG Shuai. Application of BP Neural Networks in Inventory Dynamic Modeling[J]. 保鲜与加工, 2005, 0(2): 137-140 |
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| 作者姓名： | LUO Bing HUANG Wan-jie YANG Shuai |
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| 摘 要： | The authors establish an original inventory model based on BP neural networks in dynamic environment using the inventory history data, and overcome the net overfitting problem occurred with insufficient samples by using early stopping method. After a simple-relation inventory model training is attained, they get inventory model and analyze it dynamically by reconstructing the model after getting new sample data. An example is provided to illustrate the model. The theoretical evidence is provided for the inventory system to make management decision.
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| 关 键 词： | BP neural networks dynamic modeling inventory management data mining overfitting |
| 修稿时间： | 2004-10-23 |
Application of BP Neural Networks in Inventory Dynamic Modeling |
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| LUO Bing,HUANG Wan-jie,YANG Shuai. Application of BP Neural Networks in Inventory Dynamic Modeling[J]. Storage & Process, 2005, 0(2): 137-140 |
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| Authors: | LUO Bing HUANG Wan-jie YANG Shuai |
| |
| Abstract: | The authors establish an original inventory model based on BP neural networks in dynamic environment using the inventory history data, and overcome the net overfitting problem occurred with insufficient samples by using early stopping method. After a simple-relation inventory model training is attained, they get inventory model and analyze it dynamically by reconstructing the model after getting new sample data. An example is provided to illustrate the model. The theoretical evidence is provided for the inventory system to make management decision. |
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| Keywords: | BP neural networks dynamic modeling inventory management data mining overfitting |
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