Search Results - "Particle swarm optimization-support vector regression"

RETRACTED: Research on Sustainable Form Design of NEV Vehicle Based on Particle Swarm Algorithm Optimized Support Vector Regression by Liu, Zongming, Chen, Xuhui, Liang, Xinan, Huang, Shiwen, Zhao, Yang

“…With the growing emphasis on eco-friendly and sustainable development concepts, new energy vehicles (NEVs) have emerged as a popular alternative to traditional…”
Get full text

A study on parametric design of ceramic liquor bottles by combining grey relational analysis and particle swarm optimization support vector regression by Guo, Wei, Lu, Xing, Zhang, Zhenwei

“…Nowadays, with the vigorous development of cultural and creative industries, the design of traditional cultural products often depends on the designer’s…”
Get full text

Research on sustainable form design of NEV vehicle based on particle swarm algorithm optimized support vector regression by Zongming, Liu, Xuhui, Chen, Xinan, Liang, Shiwen, Huang, Yang, Zhao

“…With the growing emphasis on eco-friendly and sustainable development concepts, new energy vehicles (NEVs) have emerged as a popular alternative to traditional…”
Get full text

Design of a Contactless Torque Measurement System Based on the Photoelectric Conversion Principle by Xia, Kun, Li, Ruikai, Jin, Tao, Yuan, Qingqing, Du, Yao

“…Torque can intuitively reflect the working status of mechanical systems, making real-time monitoring and accurate measurement of torque essential for ensuring…”
Get full text

Hyperspectral Detection of Moisture Content in Rice Straw Nutrient Bowl Trays Based on PSO-SVR by Yu, Haiming, Hu, Yuhui, Qi, Lianxing, Zhang, Kai, Jiang, Jiwen, Li, Haiyuan, Zhang, Xinyue, Zhang, Zihan

“…In the process of rice straw nutrient bowl tray drying, real-time detection of changes in moisture content to achieve automatic adjustment of drying factors is…”
Get full text

Prediction of subsurface microcrack depth of brittle materials based on co-training SVR by Chuang REN, Xin SHENG, Fengli NIU, Yongwei ZHU

“…In order to overcome the dilemma of insufficient effective sample number for subsurface microcrack depth in the lapping of brittle materials with fixed…”
Get full text

基于协同训练SVR的脆性材料亚表面微裂纹深度预测 by 任闯, 盛鑫, 牛凤丽, 朱永伟

“…TG58%TG732; 为克服固结磨料研磨脆性材料的亚表面微裂纹深度有效样本数不足的困境,实现其准确预测,采用协同训练SVR构建预测模型,对比不同标记训练集划分方法对测试集均方…”
Get full text

Defect Length Prediction of Aluminum Alloy Sheet by Using Differential Evolution-Support Vector Regression (DE-SVR) by Wu, Yan, Gao, Xiao-Rong, Zhu, Hong-Na

“…Aluminum alloy sheet has been widely applied in transport manufacturing industry due to its good mechanical properties. However, aluminum alloy sheet can…”
Get full text