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基于主元分析法与支持向量机的人脸表情识别算法
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作者 黄明威 《电脑知识与技术》 2013年第7期4485-4487,共3页
人脸表情识别技术涉及情感计算、图像处理、机器视觉模式识别、生物特征识别等研究领域,是一个极富挑战性的交叉课题。该文介绍一种基于主元分析法(PCA)进行表情图像数据降维,利用支持向量机(SVM)进行分类的人脸表情识别技术。
关键词 人脸表情识别 主元分析法 利用支持向量机
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Data-driven nonlinear control of a solid oxide fuel cell system 被引量:2
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作者 李益国 沈炯 +2 位作者 K.Y.Lee 刘西陲 费文哲 《Journal of Central South University》 SCIE EI CAS 2012年第7期1892-1901,共10页
Solid oxide fuel cells (SOFCs) are considered to be one of the most important clean,distributed resources. However,SOFCs present a challenging control problem owing to their slow dynamics,nonlinearity and tight operat... Solid oxide fuel cells (SOFCs) are considered to be one of the most important clean,distributed resources. However,SOFCs present a challenging control problem owing to their slow dynamics,nonlinearity and tight operating constraints. A novel data-driven nonlinear control strategy was proposed to solve the SOFC control problem by combining a virtual reference feedback tuning (VRFT) method and support vector machine. In order to fulfill the requirement for fuel utilization and control constraints,a dynamic constraints unit and an anti-windup scheme were adopted. In addition,a feedforward loop was designed to deal with the current disturbance. Detailed simulations demonstrate that the fast response of fuel flow for the current demand disturbance and zero steady error of the output voltage are both achieved. Meanwhile,fuel utilization is kept almost within the safe region. 展开更多
关键词 solid oxide fuel cell (SOFC) data-driven method virtual reference feedback tuning (VRFT) support vector machine(SVM) ANTI-WINDUP
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