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Quality Cost Forecast of the Construction Enterprise Based on SVR Model

机译:基于SVR模型的施工企业素质成本预测

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This paper established a relatively good index system of quality cost projections. The quality cost of construction enterprise is predicted by introducing a new mathematical model Support Vector Regression Model (SVR). SVR is one of the best methods on dealing with small samples, avoiding the defects of neural network that is easy to fall into local minimum, lower accuracy rate, and it verified Unascertained-SVR model is feasible and good accuracy by example.
机译:本文建立了相对较好的优质成本预测指标体系。通过引入新的数学模型支持向量回归模型(SVR)来预测施工企业的质量成本。 SVR是处理小型样品的最佳方法之一,避免了神经网络的缺陷,易于陷入局部最小,较低的精度率,并且验证的unaScorate-SVR模型是可行和良好的准确性。

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