人脸识别中的遗传神经网络并行实现

计算机科学 ›› 2015, Vol. 42 ›› Issue (Z6): 168-170.

人脸识别中的遗传神经网络并行实现

李海朋,李晶皎,闫爱云,王爱侠,王骄

东北大学沈阳110001,东北大学沈阳110001,东北大学沈阳110001,东北大学沈阳110001,东北大学沈阳110001

出版日期:2018-11-14 发布日期:2018-11-14
基金资助:
本文受国家自然科学基金资助

Parallel Implementation of Genetic Neural Network in Face Recognition

LI Hai-peng, LI Jing-jiao, YAN Ai-yun, WANG Ai-xia and WANG Jiao

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 实现了遗传神经网络并行的人脸识别系统。BP神经网络是人脸识别中最为有效的算法之一,在BP神经网络算法的基础上指出了其不适于多核计算机并行的部分。进而提出了一种新的遗传神经网络并行算法,从拓扑结构和权值取值两方面对BP神经网络算法进行优化。相比原算法,本算法在识别率和速度上都有显著的提升。通过在ORL上的实验证明了遗传神经网络并行算法的有效性。

Abstract: The face recognition system of parallel genetic neural network was realized in the paper.BP network is one of the most effective algorithms in face recognition field.This paper pointed out some places that not fit the multi core computer system in the algorithm of BP network,and then put forward a new parallel algorithm of genetic neural network,which optimizes the BP neural network algorithm from the topology and weight value.The new algorithm improves the recognition rate and speed than the original algorithm more significantly.The effectiveness of genetic neural network parallel algorithm was proved in the ORL experimental data.

Key words: BP neural network,Genetic neural network parallel algorithm,Face recognition

李海朋,李晶皎,闫爱云,王爱侠,王骄. 人脸识别中的遗传神经网络并行实现[J]. 计算机科学, 2015, 42(Z6): 168-170. https://doi.org/

LI Hai-peng, LI Jing-jiao, YAN Ai-yun, WANG Ai-xia and WANG Jiao. Parallel Implementation of Genetic Neural Network in Face Recognition[J]. Computer Science, 2015, 42(Z6): 168-170. https://doi.org/

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