|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2007年11 期
| 標題 |
| 基于BP神經(jīng)網(wǎng)絡的物流需求量預測框架設計(29 卷) |
| 英文標題 |
| Framework Design of Logistics Demand Forecast based on BP Neural Network |
| 摘要 |
| 結合物流需求量預測過程的實際情況，采用BP神經(jīng)網(wǎng)絡技術，建立基于BP神經(jīng)網(wǎng)絡的物流需求量預測模型。通過有效樣本的學習，應用該模型能夠實現(xiàn)對物流預測數(shù)據(jù)指標關系、知識和經(jīng)驗的提取和存儲，給出預測模型和流程圖框架設計。同時分析了在預測過程中存在的問題，以及預測指 |
| 作者 |
| 新聞作者:郭紅霞 |
| 關鍵字 |
