FDTD Time Series Extrapolation by the Least Squares Support Vector Machine Method with the Particle Swarm Optimization Technique

机译：最小二乘支持向量机和粒子群优化技术的FDTD时间序列外推。

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A new combination of Particle Swarm Optimization (PSO) and Least-Squares Support Vector Machines (LS-SVM) technique for FDTD time series forecasting is presented. In this paper, the PSO is extended to optimize the hyperparameter used in the LS-SVM algorithm. Numerical simulations demonstrate that the PSO method can efficiently get the optimal value of the hyperparameter used in the LS-SVM algorithm. And the PSO_LS-SVM method can improve the computational efficiency of the FDTD algorithm when compared with the direct FDTD method.

机译：提出了一种新的粒子群算法（PSO）和最小二乘支持向量机（LS-SVM）技术相结合的FDTD时间序列预测方法。本文对PSO进行了扩展，以优化LS-SVM算法中使用的超参数。数值仿真表明，PSO方法可以有效地获得LS-SVM算法中使用的超参数的最佳值。与直接FDTD方法相比，PSO_LS-SVM方法可以提高FDTD算法的计算效率。

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《Asia-Pacific Microwave Conference vol.4; 20051204-07; Suzhou(CN)》|2005年|P.2199-2201|共3页
会议地点 Suzhou(CN)
作者
Y. Yang; R.S. Chen; Z.B. Ye; Z. Liu;
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Department of Communication Engineering Nanjing University of Science and Technology, Nanjing, 210094, P.R.China;

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原文格式 PDF
正文语种 eng
中图分类微波与超高频技术;
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1. COMBINATION OF PARTICLE-SWARM OPTIMIZATION WITH LEAST-SQUARES SUPPORT VECTOR MACHINE FOR FDTD TIME SERIES FORECASTING [J] . Y. Yang, R. S. Chen, Z. B. Ye Microwave and optical technology letters . 2006,第1期

机译：粒子群优化与最小二乘支持向量机相结合的FDTD时间序列预测
2. TAIEX forecasting based on fuzzy time series, particle swarm optimization techniques and support vector machines [J] . Chen S.-M., Kao P.-Y. Information Sciences: An International Journal . 2013,第Null期

机译：基于模糊时间序列，粒子群优化技术和支持向量机的TAIEX预测
3. TAIEX forecasting based on fuzzy time series, particle swarm optimization techniques and support vector machines [J] . Chen S.-M., Kao P.-Y. Information Sciences: An International Journal . 2013,第Null期

机译：基于模糊时间序列，粒子群优化技术和支持向量机的TAIEX预测
4. FDTD time series extrapolation by the least squares support vector machine method with the particle swarm optimization technique [C] . Yang, Y., Chen, . 2005

机译：最小二乘支持向量机的FDTD时间序列外推与粒子群优化技术。
5. An application of least squares support vector regression with regrouping particle swarm optimzation. [D] . Sun, Chaohui. 2011

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6. Modeling and Compensation of Random Drift of MEMS Gyroscopes Based on Least Squares Support Vector Machine Optimized by Chaotic Particle Swarm Optimization [O] . Haifeng Xing, Bo Hou, Zhihui Lin, 2017

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FDTD Time Series Extrapolation by the Least Squares Support Vector Machine Method with the Particle Swarm Optimization Technique

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