激光与光电子学进展, 2020, 57 (20): 203002, 网络出版: 2020-09-27 复制并引用该论文  本文已被引 2 次  被引通知

图 & 表

图 1. 果蝇优化算法优化极限学习机的流程图

Fig. 1. Fruit fly optimization algorithm optimized extreme learning machine flowchart

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图 2. 标准正态变量变换预处理前后的光谱。(a)处理前(原始光谱);(b)处理后

Fig. 2. Spectra before and after SNVT processing. (a) Before processing (raw spectra); (b) after processing

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图 3. 果蝇优化算法的适应度曲线

Fig. 3. Fitness curve of FOA

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图 4. 优化前后测试集的对比。(a)优化前;(b)优化后

Fig. 4. Comparison of test sets before and after optimization. (a) Before optimization; (b) after optimaization

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表 1训练集与预测集中花椒挥发油含量统计表

Table1. Statistics of pepper oil content in training set and prediction set

Sample Number ofsamples Pepper oil content /(mL·g-1) Minimum Maximum Mean Standard deviation Total 150 0.03 0.08 0.056353 0.011984 Training set 120 0.03 0.08 0.056108 0.012253 Prediction set 30 0.031 0.075 0.057333 0.010978

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表 2基于迭代保留信息变量算法建立模型的建模结果

Table2. Modeling results of different models based on IRIV

Model Calibration set Prediction set RC2 RMSEC RP2 RMSEP Primitive variables-PLS 0.5714 0.6922 0.4933 0.7565 All variables-PLS 0.6157 0.6702 0.5614 0.7477 IRIV-PLS 0.6732 0.5944 0.6362 0.6524 All variables-ELM(17) 0.7409 0.7219 0.6952 0.8057 IRIV-ELM(17) 0.8547 0.4311 0.6557 0.6059 All variables-ELM(18) 0.8312 0.5872 0.7522 0.6700 IRIV-ELM(18) 0.8522 0.3475 0.8365 0.5737 All variables-ELM(19) 0.8425 0.4840 0.6862 0.5014 IRIV-ELM(19) 0.8446 0.4121 0.6952 0.6688 All variables-ELM(20) 0.8392 0.6126 0.7494 0.6965 IRIV-ELM(20) 0.8546 0.4673 0.7609 0.5994

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表 3FOA-ELM模型的结果

Table3. FOA-ELM model results

Model Calibration set Prediction set RC2 RMSEC RP2 RMSEP All variables-FOA-ELM(18) 0.7573 0.5170 0.7004 0.5939 IRIV-FOA-ELM(18) 0.8792 0.3323 0.8659 0.3621

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纪然仕, 陈晓燕, 刘素珍, 饶利波, 汪震. 基于高光谱技术和IRIV-FOA-ELM算法的花椒挥发油无损检测[J]. 激光与光电子学进展, 2020, 57(20): 203002. Ranshi Ji, Xiaoyan Chen, Suzhen Liu, Libo Rao, Zhen Wang. Nondestructive Testing of Volatile Oil of Zanthoxylum Bungeanum Based on Hyperspectral Technique and IRIV-FOA-ELM Algorithm[J]. Laser & Optoelectronics Progress, 2020, 57(20): 203002.