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GA neural network of the cost of the building graphic of the analysis and understanding

机译:GA神经网络对建筑图形成本的分析和理解

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The costs of pre-building graphic in the construction project management is a very important job, based on neural network theory and the characteristics of the costs of building graphic, raised GA neural network to solve the cost of building graphic problem, applied BP network model and used GA to optimize the weight based on BP algorithm. The calculation examples showed that the accuracy of the cost estimation met the requirements basically.
机译:预制图的成本在建设项目管理中是一项非常重要的工作,基于神经网络理论和建筑图成本的特点,提出了GA神经网络来解决建筑图成本的问题,应用了BP网络模型并使用遗传算法基于BP算法优化权重。计算实例表明,成本估算的准确性基本可以满足要求。

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