【摘要】 应用自适应神经模糊推理系统的原理,建立构筑物变形数据的预测计算模型,并用此模型完成大坝变形数据预报。它克服了以往人工神经网络变形数据计算中当解空间稍大时,便难以收敛到所需精度的缺陷,在较大的解空间内模型收敛速度快、变形预报精度高,是一种良好的变形数据预报方法。更多还原

【Abstract】 Adaptive Neural-Fuzzy Inference system is used to establish the new approach for observation data analysis of engineering deformation.It is different from the approach based on artificial neural networks is effective only if the search space is relatively small.This model is applied to analyze the prediction of dam deformation.The results show that this approach can rapidly get a stable and accurate solution within a relatively large solution space and the approach is superior to current approaches.更多还原