计算机与数字工程2017，Vol.45Issue(6)：1187-1193,7.DOI:10.3969/j.issn.1672-9722.2017.06.036
基于BP神经网络的疲劳判定
Fatigue Recognization Based on BP Neural Network
摘要
Abstract
On the basis of current data,fatigue recognization is classification in nature. BP neural network refers to classifica?tion algorithm applied in the field of face identification and can conduct self-training according to typical samples with no need of man-made rules. In this paper,BP neutral network algorithm is adapted for fatigue recognization of pilots. Features of pilot 's face and head is firstly located,then the corresponding feature vectors computed in terms of feature is input into BP neural network clas?sifier. Finally,strengths of fuzzy classification of neutral network is utilized for pilot's fatigue recognization.关键词
疲劳判定/BP神经网络/自我学习/BP神经网络算法/BP神经网络分类器Key words
fatigue recognization/BP neural network/self-training/BP neural network algorithm/BP neural network clas⁃sifier分类
信息技术与安全科学引用本文复制引用
马发民,吴红乐,张林,王锦彪..基于BP神经网络的疲劳判定[J].计算机与数字工程,2017,45(6):1187-1193,7.基金项目
国家自然科学基金项目(编号:60472121) （编号:60472121）
商洛学院自然科学研究项目(编号:15SKY007)资助. （编号:15SKY007）
