日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Fusion of NSGA-II and Latin hypercube sampling for optimizing node displacement in thin-film IME molding

NSGA-II 和拉丁超立方抽样融合用于优化薄膜 IME 模塑中的节点位移

Chang, Hanjui; Long, Fei; Li, Jiaquan

Multi-Objective Optimization of IME-Based Acoustic Tweezers for Mitigating Node Displacements

基于IME的声镊多目标优化以减轻节点位移

Chang, Hanjui; Sun, Yue; Long, Fei; Li, Jiaquan

Quality optimization of liquid silicon lenses based on sequential approximation optimization and radial basis function networks

基于序列逼近优化和径向基函数网络的液态硅透镜质量优化

Chang, Hanjui; Lu, Shuzhou; Sun, Yue; Lan, Yuntao

Barrel rifling node offset detection and subsequent optimization based on thin film in-mold decoration characteristics of the Johnson-Cook model

基于Johnson-Cook模型的薄膜模内装饰特性,对枪管膛线节点偏移进行检测并进行后续优化

Chang, Hanjui; Zhang, Guangyi; Sun, Yue; Lu, Shuzhou

A multistrategy differential evolution algorithm combined with Latin hypercube sampling applied to a brain-computer interface to improve the effect of node displacement

本文提出了一种结合拉丁超立方抽样的多策略差分进化算法,并将其应用于脑机接口,以改善节点位移的效果。

Chang, Hanjui; Sun, Yue; Lu, Shuzhou; Lin, Daiyao

Multi-Objective Optimization of Liquid Silica Array Lenses Based on Latin Hypercube Sampling and Constrained Generative Inverse Design Networks

基于拉丁超立方抽样和约束生成逆设计网络的液态二氧化硅阵列透镜多目标优化

Chang, Hanjui; Lu, Shuzhou; Sun, Yue; Zhang, Guangyi; Rao, Longshi

Intelligent Predicting of Product Quality of Injection Molding Recycled Materials Based on Tie-Bar Elongation

基于拉杆伸长率的注塑成型再生材料产品质量智能预测

Chang, Hanjui; Su, Zhiming; Lu, Shuzhou; Zhang, Guangyi