机译:使用支持向量机和自适应神经模糊推理系统技术预测纵向色散系数
Department of Water Resources Research,Water Research Institute, Ministry of Energy, Tehran, Iran, P.O.Box 16765-313 Department of Environmental Engineering, Graduate Faculty of Environment, University of Tehran, Tehran, Iran;
Department of Environmental Engineering, Graduate Faculty of Environment, University of Tehran, Tehran, Iran;
Department of Water Resources Research, Water Research Institute, Tehran, Iran Department of Water Resources, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran;
Department of Civil Engineering, Faculty of Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran;
longitudinal dispersion coefficient; support vector machine; adaptive neuro-fuzzy inference system; regression model;
机译:自适应神经模糊推理系统和支持向量机技术在电纺纳米纤维直径评估中的应用
机译:结合频率比,广义加性模型和支持向量机技术的自适应神经模糊推理系统对滑坡敏感性进行空间预测
机译:优化自适应神经模糊推理系统和最小二乘支持向量机在降水建模中的方法
机译:使用自适应神经模糊推理系统(ANFIS)优化的支持向量机(SVM)预测万隆摄政区的辣椒价格
机译:基于自适应神经模糊推理系统(ANFIS)的技术,用于使用心率估算和评估工作中的身体需求。
机译:使用四种最新的元启发式技术优化用于滑坡易感性空间预测的自适应神经模糊推理系统
机译:采用自适应神经模糊推理系统预测食品模拟/聚合物系统中移民分配系数