Abstract：Being able to identify pollutant gases quickly and accurately is a basic request of spectroscopic technique for envirment monitoring for spectral classifier. Piecewise linear classifier is simple needs less computational time and approachs nonlinear boundary beautifully. Combining piecewise linear classifier and linear support vector machine which is based on the principle of maximizing margin, an optimizing algorithm for single side piecewise linear classifier was devised. Experimental results indicate that the piecewise linear classifier trained by the optimizing algorithm proposed in this paper can approach nonolinear boundary with fewer super_planes and has higher veracity for classification and recognition.
兰天鸽,方勇华,熊伟,孔超,李大成,董大明. 分段线性光谱分类器的优化算法设计[J]. 光谱学与光谱分析, 2008, 28(11): 2726-2729.
LAN Tian-ge, FANG Yong-hua, XIONG Wei, KONG Chao, LI Da-cheng, DONG Da-ming. Optimizing Algorithm Design of Piecewise Linear Classifier for Spectra. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2008, 28(11): 2726-2729.
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