基于BP 神经网络的渡江工程信息控制效能评估
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Efficiency Evaluation of Information Control of River Crossing Project Based on BP Neural Network
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    摘要:

    为科学测度渡江工程信息保障中的信息控制效能,提出一种基于BP 神经网络的渡江工程信息控制效能 评估方法。围绕渡江工程信息保障任务的关键节点和预期目标,构建渡江工程信息控制效能评价的指标体系;利用 神经网络非线性拟合精度高以及自调节功能强的特点,设计BP 神经网络效能评估模型;利用仿真实验对模型进行 验证分析。结果表明:模型应用于渡江工程信息控制能力指标评价样本,验证了BP 神经网络在渡江工程信息控制 效能评估中的有效性。

    Abstract:

    In order to scientifically measure the effectiveness of information control in the information support of the river crossing project, an effectiveness evaluation method based on BP neural network is proposed. Focusing on the key nodes and expected targets of the information support task of the river crossing project, the index system for evaluating the efficiency of information control of the river crossing project is constructed. By using the characteristics of high nonlinear fitting accuracy and strong self-regulation function of neural network, the efficiency evaluation model of BP neural network is designed, and the model is verified and analyzed by simulation experiments. The results show that the model is applied to the evaluation sample of the information control ability of the river crossing project, and the effectiveness of the BP neural network in the evaluation of the information control efficiency of the river crossing project is verified.

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王凤山.基于BP 神经网络的渡江工程信息控制效能评估[J].,2023,42(03).

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  • 收稿日期:2022-11-06
  • 最后修改日期:2022-12-28
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  • 在线发布日期: 2023-04-07
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