研究论文
A novel hybrid statistical and neural network model for forecasting multivariate time series parameters in forging process
Ning‐Fu Zeng, Y.C. Lin, Miao Wan, Gui-Cheng Wu, Ming-Song Chen, Chao Li
Central South University Rongcheng City People's Hospital Department of Science and Technology of Hunan Province
来源Applied Intelligence
年份2025
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学术脉络
学科主题
工程Metallurgy and Material Forming
Metallurgical Processes and Thermodynamics · Mineral Processing and Grinding
参考文献 47
Comparison of new activation functions in neural network for forecasting financial time series
被引 94Gecynalda Soares da Silva Gomes, Teresa B. Ludermir, Leyla M. M. R. Lima · Neural Computing and Applications · 2010
Radial forging force prediction through MR, ANN, and ANFIS models
被引 23Abigail Azari, Mehrdad Poursina, Davood Poursina · Neural Computing and Applications · 2014
Deep Residual Learning for Image Recognition
被引 227,813Kaiming He, Xiangyu Zhang, Shaoqing Ren · 2016
此处列出前 3 条
引用本文 10
MHAED-Net: a lightweight multiscale hybrid attention encoder-decoder network for the efficient segmentation of industrial forging images
被引 18Miao Wan, Y.C. Lin, Shuxin Li · The Journal of Supercomputing · 2025
Digital modeling and uniformity control of entire physical fields during die forging forming process of complex components
被引 5Hao Hu, Fan Zhao, Zhihao Zhang · Journal of Manufacturing Processes · 2025
Digital twin-driven dimensional prediction and quality monitoring system for aluminum alloy die forging process
被引 2Zhili Hu, Yawei Mao, Qiu Pang · Journal of Manufacturing Processes · 2026
按被引量排序,此处列出前 3 条