现代信息科技2024，Vol.8Issue(4)：109-112,4.DOI:10.19850/j.cnki.2096-4706.2024.04.023
基于样条权函数神经网络的人脸识别研究
Research on Face Recognition Based on Cubic Spline Weight Function Neural Network
摘要
Abstract
This paper investigates face recognition technology,compares and analyzes the differences between traditional recognition technology and recognition technology based on Deep Learning.It is pointed out that due to the complex network structure of Deep Learning,the phenomenon of algorithm overfitting is prone to occur in the face recognition process.In response to the overfitting problem mentioned above,this paper studies the face recognition algorithm based on weight function neural network.This type of neural network has a simple structure with only two layers of input and output,and takes face images as input information.The training objective of the network is to calculate the cubic spline weight function.The simulation experiments show that this type of network has good recognition accuracy and efficiency.关键词
人脸识别/三次样条权函数/神经网络Key words
face recognition/cubic spline weight function/neural network分类
信息技术与安全科学引用本文复制引用
刘敏..基于样条权函数神经网络的人脸识别研究[J].现代信息科技,2024,8(4):109-112,4.基金项目
中南林业科技大学涉外学院2021年度院级科研项目(SYKY202121) （SYKY202121）
