Application research of SOFM in building project cost

机译：SOFM在建筑工程造价中的应用研究

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Currently, the errors in estimation method of the construction project cost lead to the phenomena of “budgetary estimate over estimate, budget over budgetary estimate and final accounts over budget”, which perplexes the investment profits of construction project. To solve the problem, this paper makes a study on the construction project cost by using SOFM neural network, establishes SOFM network model and verifies its feasibility based on the calculations and analysis of experimental data.

机译：当前，建设项目成本估算方法的错误导致了“预算概算超过预算，预算概算超过预算，决算超过预算”的现象，困扰着建设项目的投资利润。为解决这一问题，本文利用SOFM神经网络对建设工程造价进行了研究，建立了SOFM网络模型，并通过对实验数据的计算和分析验证了其可行性。

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《2010 International Conference on Computer Application and System Modeling》|2010年|p.V10-421-V10-425|共5页
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作者
Feng Guang-li; Zhu Wen-juan;
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正文语种
中图分类自动化技术、计算机技术;
关键词
SOFM; building construction; feature; neural network; project cost estimation;

机译：SOFM;建筑施工;功能;神经网络;工程造价估算;

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1. The Application of SOFM Fuzzy Neural Networl in Project Cost Estimate [J] . WenFeng Feng, WenJuan Zhu Journal of software . 2011,第8期

机译：SOFT模糊神经网络在工程造价估算中的应用。
2. The Application of SOFM Fuzzy Neural Network in Project Cost Estimate [J] . WenFeng Feng, WenJuan Zhu Journal of Computers . 2011,第8期

机译：SOFM模糊神经网络在工程造价估算中的应用。
3. The Application of SOFM Fuzzy Neural Network in Project Cost Estimate [J] . WenFeng Feng, WenJuan Zhu Journal of software . 2011,第8期

机译：SOFM模糊神经网络在工程造价估算中的应用。
4. Application research of SOFM in building project cost [C] . Feng Guang-li, Zhu Wen-juan 2010 International Conference on Computer Application and System Modeling . 2010

机译：SOFM在建筑工程造价中的应用研究
5. Integrated conceptual cost estimating and life cycle costing system for building projects [D] . Jrade, Ahmad 2004

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6. Application of Boosting Regression Trees to Preliminary Cost Estimation in Building Construction Projects [O] . Yoonseok Shin 2015

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8. Life-Cycle Costing Manual for the Federal Energy Management Program: A Guide for Evaluating the Cost Effectiveness of Energy Conservation and Renewable Energy Projects for New and Existing Federally Owned and Leased Buildings and Facilities [R] . Ruegg, R. T. 1987

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Application research of SOFM in building project cost

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