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2009年10 期
| 標(biāo)題 |
| 基于多因素的鐵路貨運(yùn)量BP神經(jīng)網(wǎng)絡(luò)預(yù)測研究(27 卷) |
| 英文標(biāo)題 |
| Research on BP Neural Network Forecast of Railway Freight Volume based on Multi-factor |
| 摘要 |
| 在對鐵路運(yùn)輸影響因素進(jìn)行定性及定量分析的基礎(chǔ)上，選取了國內(nèi)生產(chǎn)總值、第二產(chǎn)業(yè)比重、原煤產(chǎn)量、原油產(chǎn)量等10個(gè)指標(biāo)作為影響因素，運(yùn)用BP神經(jīng)網(wǎng)絡(luò)模型構(gòu)建它們與鐵路貨運(yùn)量之間的復(fù)雜映射，從而對鐵路貨運(yùn)量進(jìn)行預(yù)測，并以近12年鐵路貨運(yùn)量為實(shí)例進(jìn)行驗(yàn)證。 |
| 作者 |
| 新聞作者:吳曉玲，符 卓 |
| 關(guān)鍵字 |
