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大坝监测数据分析和大坝监控预测模型的难点在于监测数据的效应量和影响量之间的高度非线性关系,传统监测模型的非线性分析能力欠缺。在充分利用模糊神经网络的模糊推理能力、处理众多影响因素能力和解决复杂非线性问题能力的基础上,结合混沌优化算法的全局搜索能力,建立了基于混沌优化的模糊神经网络模型。对某拱坝变形进行了拟合和预测,计算结果与实测值吻合良好。
The difficulty of dam monitoring data analysis and dam monitoring forecasting model lies in the highly nonlinear relationship between the effect and the amount of monitoring data, and the lack of nonlinear analysis ability of traditional monitoring model. Based on the full use of the fuzzy inference ability of the fuzzy neural network, the ability to deal with many influencing factors and the ability to solve complex nonlinear problems, a fuzzy neural network model based on chaos optimization is established based on the global search ability of the chaos optimization algorithm. The deformation and deformation of an arch dam are fitted and predicted. The calculated results are in good agreement with the measured values.