计算机与数字工程
計算機與數字工程
계산궤여수자공정
COMPUTER & DIGITAL ENGINEERING
2015年
8期
1378-1381,1551
,共5页
煤炭企业%成本预测%广义回归神经网络
煤炭企業%成本預測%廣義迴歸神經網絡
매탄기업%성본예측%엄의회귀신경망락
coal enterprise%cost prediction%generalized regression neural network
针对煤炭企业成本预测相关因素的复杂性，为了解决传统成本预测方法在煤炭企业成本预测问题上的不适用性和不准确性，提出了基于广义回归神经网络的煤炭企业成本预测方法。该方法基于广义回归神经网络算法，以物资消耗成本为例，以比较关键的八个影响因素标准化样本数据作为输入数据，构建了网络模型，并通过 Matlab 仿真出预测结果。结果表明该成本预测方法的科学性与准确性。
針對煤炭企業成本預測相關因素的複雜性，為瞭解決傳統成本預測方法在煤炭企業成本預測問題上的不適用性和不準確性，提齣瞭基于廣義迴歸神經網絡的煤炭企業成本預測方法。該方法基于廣義迴歸神經網絡算法，以物資消耗成本為例，以比較關鍵的八箇影響因素標準化樣本數據作為輸入數據，構建瞭網絡模型，併通過 Matlab 倣真齣預測結果。結果錶明該成本預測方法的科學性與準確性。
침대매탄기업성본예측상관인소적복잡성，위료해결전통성본예측방법재매탄기업성본예측문제상적불괄용성화불준학성，제출료기우엄의회귀신경망락적매탄기업성본예측방법。해방법기우엄의회귀신경망락산법，이물자소모성본위례，이비교관건적팔개영향인소표준화양본수거작위수입수거，구건료망락모형，병통과 Matlab 방진출예측결과。결과표명해성본예측방법적과학성여준학성。
The relative factors about the prediction of the coal enterprise cost are complex .The research of the predic-tion method of coal enterprise cost based on generalized regression neural network is proposed in this paper ,in order to solve the inapplicability and inaccuracy of traditional cost prediction method in the coal enterprise .A network model has been built through generalized regression neural network ,in the case of material cost and the eight key affecting factors of the standard-ization sample data as input data .Meanwhile ,the results are predicted by Matlab simulation .It shows that the cost predic-tion method is scientific and accurate .
