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Evaluation of Water Conservancy Project Management Modernization Based on Improved intelligent algorithm |
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PP: 1173-1179 |
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Author(s) |
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Yu-qin Gao,
Guo-hua Fang,
You-peng Xu,
Xin Zhang,
Li-jun Qu,
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Abstract |
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| An improved GA-BP Neural Network model for the evaluation of water conservancy project management modernization
is established in this paper. It optimizes the initial weights and threshold of the improved BP neural network with the application of
genetic algorithm. Depart from the ability of fast learning and global search, it can also effectively prevent BP neural network from
getting into local minimum and obtaining unstable training results. An illustrative example, just as Taizhou Citation River, is analyzed
to substantiate the reliability and rationality of the model with its actual water conservancy project management modernization data.
Compared with other models, this model shows its superiority. |
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