Careful estimation of global ductility will certainly lead to greater accuracy in the design of structural members. In this paper, a new and optimal intelligent model is proposed to predict the roof ductility (μR) of EBF steel frames exposed to the near-fault pulse-like earthquakes, using the Adaptive Neuro-Fuzzy Inference System (ANFIS). To achieve this goal, a databank consisting of 12960 data is created. To establish different geometrical properties of models, 3-,6-, 9-, 12-, 15, 20-stories, steel EBF frames are considered with 3 different types of link beam, column stiffness, and brace slenderness. All models are analysed to reach 4 different performance levels using nonlinear time history under 20 near-fault earthquakes. About 6769 data are applied as ANFIS training data. Subtractive clustering and Fuzzy C-Mean clustering (FCM) methods are applied to generate the purposed model. The results show that FCM provides more accurate outcomes. Moreover, to validate the model, 2257 data are applied (as test data) in order to calculate the correlation coefficient (R) and mean squared error (MSE) between the predicted values of (μR) and the real values. The results of correlation analysis show the high accuracy of the proposed intelligent model. KeywordsAdaptive neuro-fuzzy inference system, Global ductility, Performance levels, EBF frames, Intelligent model.

中文翻译：

---

自适应神经模糊推理系统预测近故障脉冲状地震动对EBF屋顶延性的最优方法

仔细估计整体延展性肯定会导致结构构件设计的更高准确性。本文采用自适应神经模糊推理系统（ANFIS），提出了一种新的最优智能模型，用于预测暴露于近断层脉冲状地震的EBF钢框架的屋顶延性（μR）。为了实现此目标，创建了一个包含12960个数据的数据库。为了建立模型的不同几何特性（3层，6层，9层，12层，15层，20层），考虑使用具有3种不同类型的连接梁，柱刚度和支撑细长的EBF钢框架。在20次近断层地震中，使用非线性时间历程分析所有模型以达到4种不同的性能水平。大约6769数据被用作ANFIS训练数据。应用减法聚类和模糊C均值聚类（FCM）方法生成目标模型。结果表明，FCM可提供更准确的结果。此外，为了验证模型，应用了2257个数据（作为测试数据），以便计算（μR）预测值和实际值之间的相关系数（R）和均方误差（MSE）。相关分析的结果表明，所提出的智能模型具有很高的准确性。关键词自适应神经模糊推理系统全局延展性能水平EBF框架智能模型 应用2257个数据（作为测试数据）以计算（μR）预测值和实际值之间的相关系数（R）和均方误差（MSE）。相关分析的结果表明，所提出的智能模型具有很高的准确性。关键词自适应神经模糊推理系统全局延展性能水平EBF框架智能模型 应用2257个数据（作为测试数据）以计算（μR）预测值和实际值之间的相关系数（R）和均方误差（MSE）。相关分析的结果表明，所提出的智能模型具有很高的准确性。关键词自适应神经模糊推理系统全局延展性能水平EBF框架智能模型