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APPLICATION OF NEURO FUZZY ALGORITHMS TO PREDICT WELD QUALITY IN RESISTANCE SPOT WELDING

机译：神经模糊算法在电阻点焊焊接质量预测中的应用

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1. A Quality Assurance Technique for Resistance Spot Welding Using a Neuro-Fuzzy Algorithm [J] . S. R. Lee, Y. J. Choo, T. Y. Lee Journal of Manufacturing Systems . 2001,第5期

机译：使用神经模糊算法的电阻点焊质量保证技术
2. Intelligent Modeling Using Adaptive Neuro Fuzzy Inference System (ANFIS) for Predicting Weld Bead Shape Parameters During A-TIG Welding of Reduced Activation Ferritic- Martensitic (RAFM) Steel [J] . S. Vishnuvaradhan, N. Chandrasekhar, M. Vasudevan Transactions of the Indian Institute of Metals . 2013,第1期

机译：使用自适应神经模糊推理系统（ANFIS）进行智能建模，以预测还原活化铁素体-马氏体（RAFM）钢的A-TIG焊接过程中的焊道形状参数
3. Adaptive Neuro-Fuzzy Inference System (ANFIS)-Based Models for Predicting the Weld Bead Width and Depth of Penetration from the Infrared Thermal Image of the Weld Pool [J] . Metallurgical and Materials Transactions B . 2012,第1期

机译：基于自适应神经模糊推理系统（ANFIS）的模型，可从焊缝池的红外热像图预测焊缝宽度和穿透深度
4. APPLICATION OF NEURO FUZZY ALGORITHMS TO PREDICT WELDQUALITY IN RESISTANCE SPOT WELDING [C] . Zhang Yansong, Chen Guanlong, Lin Zhongqin, Proceedings of the 6th International Conference on Frontiers of Design and Manufacturing . 2004

机译：神经模糊算法在电阻点焊焊接质量预测中的应用。
5. An intelligent control system for resistance spot welding using fuzzy logic and neural network [D] . Jou, Min. 1994

机译：采用模糊逻辑和神经网络的电阻点焊智能控制系统
6. Effect of Welding Current on Weld Formation Microstructure and Mechanical Properties in Resistance Spot Welding of CR590T/340Y Galvanized Dual Phase Steel [O] . Xinge Zhang, Fubin Yao, Zhenan Ren, 2018

机译：焊接电流对CR590T / 340Y镀锌双相钢电阻点焊中焊缝形成组织和力学性能的影响
7. Welding Defects Occurrence and Their Effects on Weld Quality in Resistance Spot Welding of AHSS Steel [O] . Xiaodong Wan, Yuanxun Wang, Cuixia Fang 2014

机译：焊接缺陷发生及其对AHSS钢电阻点焊中的焊接质量的影响

APPLICATION OF NEURO FUZZY ALGORITHMS TO PREDICT WELD QUALITY IN RESISTANCE SPOT WELDING

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