基于三维动态激光成像技术的在线学习模型研究

针对传统在线学习模型平均累计错误率较高的问题,提出基于三维动态激光成像技术的在线学习模型研究。分析图像数据维度,利用三维空间域当中,各像素点之间的联系,计算图像空间相关程度,采用零树结构,实现在线学习数据集训练,选取特征样本集,利用核函数,计算概率密度,获取深度信息,完成基于三维动态激光成像技术的在线学习模型的建立。设计仿真实验,与3种传统模型对比分析,实验结果表明,当学习样本数目达到60时:对照组1、对照组2和对照组3的平均累计错误率分别为0.38、0.35和0.3,而实验组为0.25。因此,相较于传统在线学习模型本文所建立模型对这一问题实现了优化,使其平均累计错误率大幅降低,满足用户的使用需求。

Research on online learning model based on 3D dynamic laser imaging technology

Regarding the problem that the average cumulative error rate of traditional online learning model is high,an online learning model based on 3 D dynamic laser imaging technology is proposed.The dimension of image data is analyzed,the connection between each pixel in the three-dimensional space domain is used to calculate the spatial correlation degree of image.The zero tree structure is used to realize online learning data set training,the feature sample set is selected,the kernel function is used to calculate the probability density,the depth information is obtained,and the establishment of online learning model based on three-dimensional dynamic laser imaging technology is completed.The simulation experiment is designed and compared with three traditional models.The results show that the average cumulative error rate of traditional online learning model is high,which leads to unstable learning effect.The established model optimizes the problem,greatly reduces the average cumulative error rate,and meets the user’s demand.