光谱学与光谱分析 |
|
|
|
|
|
Optimizing Algorithm Design of Piecewise Linear Classifier for Spectra |
LAN Tian-ge, FANG Yong-hua, XIONG Wei, KONG Chao, LI Da-cheng, DONG Da-ming |
Remote Sensing Lab, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China |
|
|
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.
|
Received: 2007-08-26
Accepted: 2007-11-16
|
|
Corresponding Authors:
LAN Tian-ge
E-mail: tingerlan@163.com
|
|
[1] XIONG Wei, FANG Yong-hua, HUANG Ye, et al(熊 伟,方勇华,黄 烨, 等) . Opto-Electronic Engineering(光电工程), 2006,33(4):257. [2] LAN Tian-ge, FANG Yong-hua(兰天鸽,方勇华). Infrared and Laser Engineering(红外与激光工程) 2007,36(2):17. [3] KONG Chao, FANG Yong-hua, LAN Tian-ge, et al(孔 超,方勇华,兰天鸽, 等). Optics and Precision Engineering(光学精密工程),2006,14(6):1094. [4] NIE Liang,ZHANG Jun(聂 亮,张 骏). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2004,24(8):953. [5] YANG Guang-zheng, WU Min, ZHANG Xiao-li, et al (杨光正,吴 岷, 张晓莉, 等). Pattern Recognition(模式识别). Hefei: The Press of University of Science and Technology of China(合肥: 中国科技大学出版社), 2001. 7. [6] Kaltenbach T F, Small G W. Analytical Chemistry, 1991, 63(9): 936. [7] Burges C J C. Data Mining and Knowledge Discovery, 1998, 2(2):121. [8] WANG Juan-juan, REN Qiu-shi(王娟娟,任秋实). Information Technology(信息技术), 2006,30(10):45. [9] HUANG Ye, FANG Yong-hua, XIONG Wei, et al(黄 烨,方勇华,熊 伟, 等) . Opto-Electronic Engineering(光电工程), 2006,33(6):61. |
[1] |
BAO Hao1, 2,ZHANG Yan1, 2*. Research on Spectral Feature Band Selection Model Based on Improved Harris Hawk Optimization Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 148-157. |
[2] |
LI Zhong-bing1, 2, JIANG Chuan-dong2, LIANG Hai-bo3, DUAN Hong-ming2, PANG Wei2. Rough and Fine Selection Strategy Binary Gray Wolf Optimization
Algorithm for Infrared Spectral Feature Selection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3067-3074. |
[3] |
LI Xin1, LIU Jiang-ping1, 2*, HUANG Qing1, HU Peng-wei1, 2. Optimization of Prediction Model for Milk Fat Content Based on Improved Whale Optimization Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2779-2784. |
[4] |
LÜ Shi-lei1, 2, 3, WANG Hong-wei1, LI Zhen1, 2, 3*, ZHOU Xu1, ZHAO Jing1. Hyperspectral Identification Model of Cantonese Tangerine Peel Based on BWO-SVM Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2894-2901. |
[5] |
XU Qi-lei, GUO Lu-yu, DU Kang, SHAN Bao-ming, ZHANG Fang-kun*. A Hybrid Shrinkage Strategy Based on Variable Stable Weighted for Solution Concentration Measurement in Crystallization Via ATR-FTIR Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1413-1418. |
[6] |
LI Xiao-kai, YU Hai-ye, YU Yue, WANG Hong-jian, ZHANG Lei, ZHANG Xin, SUI Yuan-yuan*. Inversion Model of Clorophyll Content in Rice Based on a Bonic
Optimization Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 93-99. |
[7] |
ZHANG Fu1, 2, 3, WANG Xin-yue2, CUI Xia-hua2, CAO Wei-hua2, ZHANG Xiao-dong1*, ZHANG Ya-kun2. Classification of Qianxi Tomatoes by Visible/Near Infrared Spectroscopy Combined With GMO-SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3291-3297. |
[8] |
ZHANG Yan1, 2, 3,WU Hua-rui1, 2, 3,ZHU Hua-ji1, 2, 3*. Hyperspectral Latent Period Diagnosis of Tomato Gray Mold Based on TLBO-ELM Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2969-2975. |
[9] |
SONG Ni-na1, XIAO Dong1*, LI Sen1, GAO Yu-jie2. Analysis of Soil Salinity Based on Spectrum and RVIPSO-MELM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2482-2487. |
[10] |
YAN Peng-cheng1, 2, SHANG Song-hang2*, ZHANG Chao-yin2, ZHANG Xiao-fei2. Classification of Coal Mine Water Sources by Improved BP Neural Network Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(07): 2288-2293. |
[11] |
ZHAO Man1, GUO Yi-xin1, HE Yu-qing1*, GUO Hong1, JIN Wei-qi1, REN Lin-mao1,2. Baseline Correction of UV Raman Spectrum Based on Improved Piecewise Linear Fitting[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(06): 1862-1868. |
[12] |
WANG Shu-tao, PENG Tao*, LI Ming-shan, WANG Gui-chuan, KONG De-ming, WANG Yu-tian. Determination of the Carmine Content Based on Spectrum Fluorescence Spectral and PSO-SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(01): 150-155. |
[13] |
LIU Zhen-yu1, 3, CUI Ting-wei2, ZHANG Sheng-hua1, ZHAO Wen-jing4. Piecewise Linear Retrieval Suspended Particulate Matter for the Yellow River Estuary Based on Landsat8 OLI[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(08): 2536-2541. |
[14] |
PAN Cen-cen1, YAN Qing-wu1, DING Jian-wei2, ZHANG Qian-qian1, TAN Kun1*. Atmospheric Correction of Airborne Hyperspectral Image Based on Fruit Fly-Powell Optimization Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(01): 224-234. |
[15] |
BIN Jun1, FAN Wei1*, ZHOU Ji-heng1*, LI Xin1, LIANG Yi-zeng2 . Application of Intelligent Optimization Algorithms to Wavelength Selection of Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(01): 95-102. |
|
|
|
|