使用最小正方形支向量机器技术对联线结构的交叉度分析
Mohammad G H Alijani1, Mohammad H Neshati2
1Electrical Department, Ferdwosi University of Mashhad, Mashhad, Iran. malijani@mail.um.ac.ir.
Scientific reports
|September 16, 2023
概括
本研究使用最小正方形支向量机 (LS-SVM) 方法在微波合线中进行高效的交叉声分析,与传统方法相比,显著降低了计算成本.
科学领域:
- 微波工程 微波工程
- 电磁学 电磁学 电磁学 电磁学
- 计算智能是一种计算智能.
背景情况:
- 微波合线结构中的制造缺陷可以显著影响性能.
- 传统的分析方法,如蒙特卡洛 (MC) 和支持矢量机 (SVM) 可能是计算昂贵.
研究的目的:
- 为了研究微波合线结构的交叉声敏感性,考虑到制造不完美.
- 为此分析评估最小方形支向量机 (LS-SVM) 方法的效率和准确性.
主要方法:
- 使用最小方形支向量机 (LS-SVM) 进行灵敏度分析.
- 使用拉丁式超立方函数随机分配几何参数,在±50%的变化范围内.
- 将LS-SVM预测与实际案例研究的测量和模拟数据进行比较.
主要成果:
- 与MC和SVM分析相比,LS-SVM可以大幅降低计算成本.
- 该方法准确地预测最坏的情况下交叉通话的预期值.
- LS-SVM有效地预测了在广泛的频率范围内合线结果的概率分布.
结论:
- LS-SVM是一种高效且准确的方法,用于分析微波合线结构中的交叉声传感度.
- 拟议的方法为制造缺陷对设备性能的影响提供了有价值的见解.
- 这种方法可以快速预测性能变化,有助于稳健的设计和制造.
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