Efficient neural network approach for comprehensive analysis of fixed-guided beams

IF 6.6 1区 工程技术 Q1 ENGINEERING, CIVIL
Fanhui Meng , Bo Qi , Zijian Jing , Jin Wang , Xin Li , Junli Guo
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引用次数: 0

Abstract

This paper conducts a research on the full-process mechanical behavior analysis of fixed guided beams. Compared with traditional neural network prediction technologies, there are significant differences in data characteristics, specifically manifested in a large number of output parameters and a small number of input parameters. Compared with network models such as MLP widely used in engineering, the prediction network model based on decision trees not only has higher accuracy but also features lower computational requirements. A fixed-step dataset of mechanical properties is generated through elliptic integration, and the trained decision tree-based neural network achieves excellent performance under multiple evaluation criteria. Finally, experimental results indicate that there are unpredictable factors between the theoretical and actual values of fixed guided beams, further elaborating on the application prospects of neural network technology in the future.
固定导向梁综合分析的高效神经网络方法
本文对固定导梁的全过程力学性能分析进行了研究。与传统神经网络预测技术相比,在数据特征上存在显著差异,具体表现为输出参数多、输入参数少。与工程中广泛应用的MLP等网络模型相比,基于决策树的预测网络模型不仅精度更高,而且计算量更少。通过椭圆积分生成固定步长力学性能数据集,训练后的决策树神经网络在多个评价标准下均取得了优异的性能。最后,实验结果表明,固定导束的理论值与实际值之间存在不可预测的因素,进一步阐述了神经网络技术在未来的应用前景。
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来源期刊
Thin-Walled Structures
Thin-Walled Structures 工程技术-工程:土木
CiteScore
9.60
自引率
20.30%
发文量
801
审稿时长
66 days
期刊介绍: Thin-walled structures comprises an important and growing proportion of engineering construction with areas of application becoming increasingly diverse, ranging from aircraft, bridges, ships and oil rigs to storage vessels, industrial buildings and warehouses. Many factors, including cost and weight economy, new materials and processes and the growth of powerful methods of analysis have contributed to this growth, and led to the need for a journal which concentrates specifically on structures in which problems arise due to the thinness of the walls. This field includes cold– formed sections, plate and shell structures, reinforced plastics structures and aluminium structures, and is of importance in many branches of engineering. The primary criterion for consideration of papers in Thin–Walled Structures is that they must be concerned with thin–walled structures or the basic problems inherent in thin–walled structures. Provided this criterion is satisfied no restriction is placed on the type of construction, material or field of application. Papers on theory, experiment, design, etc., are published and it is expected that many papers will contain aspects of all three.
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