基于神经网络技术的干散货运价指数预测

来源 :大连海事大学学报 | 被引量 : 0次 | 上传用户:mecdull
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在考虑了干散货运输需求、干散货船舶供给以及干散货船舶闲置等对运价指数影响的基础上,采用神经网络技术对月度干散货指数进行了研究,并且与基于ARCH模型和多元线性回归模型的预测进行了对比研究,结果表明从提高预测精度的角度来说神经网络技术是最优的.
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