Abstract: BP network is applied in quick estimation of parts cost of Bill Of Quantity(BOQ) in this paper. It provides a new calculation method and theory for meter cost of sub-project.
应用BP神经网络算法对工程量清单的分项工程价格进行快速估算，为分项工程单方造价提供新的计算方法和理论。
In this paper, a method of the calculation of LPC coefficients is proposed by use of BP neural network.
现提出一种基于BP神经网络的线性预测系数的求解方法。
Abstract: BP network is applied in quick estimation of parts cost of Bill of Quantity (BOQ) in this paper. It provides a new calculation method and theory for meter cost of sub-project.
[摘要]应用BP神经网络算法对工程量清单的分项工程价格进行快速估算，为分项工程单方造价提供新的计算方法和理论。
Simulation results of practical example show that the method can improve the calculation accuracy and the speed of the convergence process compared with BP and BP trained by GA.
实例计算表明，与BP算法及BP与GA结合算法比较，该方法在提高误差精度的同时可以加快训练收敛的速度。
BP neural networks model of the main spindle system of the grinder is built and the structure model updating and optimization calculation are carried through based on the method.
基于此法建立了磨床主轴系统的BP神经网络模型并进行了结构修正与优化计算。
BP neural networks model of the main spindle system of the grinder is built and the structure model updating and optimization calculation are carried through based on the method.
基于此法建立了磨床主轴系统的BP神经网络模型并进行了结构修正与优化计算。
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