title: [Optimizing algorithm design of piecewise linear classifier for spectra].
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.
authors.affiliation: Remote Sensing Lab, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China. tingerlan@163.com
authors.forename: Tian-Ge
authors.initials: TG
authors.lastname: Lan
authors.forename: Yong-Hua
authors.initials: YH
authors.lastname: Fang
authors.forename: Wei
authors.initials: W
authors.lastname: Xiong
authors.forename: Chao
authors.initials: C
authors.lastname: Kong
authors.forename: Da-Cheng
authors.initials: DC
authors.lastname: Li
authors.forename: Da-Ming
authors.initials: DM
authors.lastname: Dong