| 粒子群神经网络算法在水电工程投资估算中的应用 |
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| 引用本文： | 陈灿.粒子群神经网络算法在水电工程投资估算中的应用[J].大众科技,2014(10):35-37. |
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| 作者姓名： | 陈灿 |
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| 作者单位： | 桂林电子科技大学商学院,广西 桂林,541004 |
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| 摘 要： | 文章基于粒子群BP神经网络,同时结合水利水电工程等级划分标准建立大型水电工程投资估算模型。并利用MATLAB软件实现了模型的训练与测试。最后对已建水电工程进行了预测。结果表明模型改进了现有水电工程投资估算方法,在水电工程投资估算中具有较高的精度与泛化能力。
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| 关 键 词： | 粒子群 BP神经网络 水电工程 投资估算 |
Application of particle swarm neural network algorithm to estimate the investment in hydropower projects |
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| Abstract: | This article is based on particle swarm the BP neural network, at the same time, combined with water resources and hydropower engineering hierarchy standard large-scale hydropower project investment estimation model is established and using MATLAB software to realize the training and test of the model. Finally, the existing hydropower project is forecasted. Results show that the model improves the existing hydropower project investment estimation methods; in the hydropower project investment estimation has higher precision and generalization ability. |
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| Keywords: | Particle swarm BP neural network hydropower project investment estimation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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