| 基于反向传播神经网络的煤矿建筑工程造价估算研究 |
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| 作者姓名： | Study on Estimation Approaches of Coal Mine Construction Project Cost Using |
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| 作者单位： | 中煤建设集团有限公司,北京102218 |
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| 摘 要： | 人工神经网络通过模拟人脑或生物神经网络基本特性,具有较强的自组织和自学习能力,可以从大量的数据中提取内在规律,构造出自变量和因变量二者之间的映射关系,从而实现复杂非线性现象的有效模拟和预测。研究表明人工神经网络方法与其他方法相比在工程造价特征因素非线性和动态性描述方面具有潜在优势。
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| 关 键 词： | 工程造价 投资决策 造价估算 神经网络 |
Study on Estimation Approaches of Coal Mine Construction Project Cost Using Back-propagation Neural Networks |
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| Study on Estimation Approaches of Coal Mine Construction Project Cost Using.Study on Estimation Approaches of Coal Mine Construction Project Cost Using Back-propagation Neural Networks[J].Value Engineering,2014(4):106-107. |
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| Institution: | ( China Coal Construction Group, Beijing 102218, China ) |
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| Abstract: | An artificial neural network is a powerful modeling tool that can automatically find input/output relationships and discover the hidden rules among complex data. The artificial intelligence method offers opportunities for modeling nonlinear problems. The research shows the neutral networks method. |
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| Keywords: | engineering cost investment decision cost estimation neural networks |
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