摘要
提出了一种基于Tent混沌人工鱼群改进的AdaBoost算法。该方法利用混沌人工鱼群的全局寻优能力,在弱分类器权重系数间进行全局寻优,获得各弱分类器权重系数最优组合。仿真实验结果表明:该算法在人脸检测精度、正确率和泛化能力能方面都得到了一定的改善。
an improved AdaBoost algorithm based on TAFSA is proposed in this paper. This method through the stochastic glob-al optimization ability of the TAFSA in the optimized weight coefficient space,obtained the optimal combination of the weight coeffi-cient of the weak classifiers.The simulation experiments show that the detection rate and the ability of generalization of human face detection are all improved.
出处
《自动化与仪器仪表》
2014年第3期85-86,共2页
Automation & Instrumentation
