为了提高高光谱鉴别玉米霉变程度的正确率,分别对全波长和特征波长下霉变玉米进行鉴别分析。利用高光谱图像采集系统获得250个霉变玉米样本的高光谱数据,并用标准正态变量变换(standard normal variate,SNV)和多元散射校正(Multiplicati...为了提高高光谱鉴别玉米霉变程度的正确率,分别对全波长和特征波长下霉变玉米进行鉴别分析。利用高光谱图像采集系统获得250个霉变玉米样本的高光谱数据,并用标准正态变量变换(standard normal variate,SNV)和多元散射校正(Multiplicative scatter correction,MSC)2种方法对原始数据进行预处理,再对未预处理和预处理后的原始数据进行判别,优选出多元散射校正的预处理方法;运用偏最小二乘回归系数选择了9个特征波长;运用Fisher判别分析(Fisher discriminant analysis,FDA)分别对全波长和特征波长下的训练集进行判别分析,并用对应的测试集进行检验。FDA结果表明,全波长下判别模型的训练集和测试集的准确率分别为97.71%,97.33%,9个特征波长下训练集和测试集的准确率分别为100.00%,98.67%。研究结果表明,利用特征光谱能够较好地表征玉米的霉变程度,有利于提高玉米霉变程度的鉴别正确率。展开更多
In this paper, we establish fuzzy stability of the orthogonal Cauchy functional equations f(x + y) = f(x) + f(y), x ⊥ y and the orthogonal Cauchy functional of P exider type f(x + y) = g(x) + h(y), x ⊥ y in which ⊥...In this paper, we establish fuzzy stability of the orthogonal Cauchy functional equations f(x + y) = f(x) + f(y), x ⊥ y and the orthogonal Cauchy functional of P exider type f(x + y) = g(x) + h(y), x ⊥ y in which ⊥ is the orthogonality in the sense of Rtz.展开更多
基金Supported by Opening Foundation of Guangxi Colleges and Universities Key Laboratory of Complex System Optimization and Big Data Processing(Grant No.2017CSOBDP0103)Guangxi Universitys Science and Technology Research Project(Grant No.201012MS185)Science and Technology Foundation of Guizhou Province(Grant No.LKS[2012]34)
文摘In this paper, we establish fuzzy stability of the orthogonal Cauchy functional equations f(x + y) = f(x) + f(y), x ⊥ y and the orthogonal Cauchy functional of P exider type f(x + y) = g(x) + h(y), x ⊥ y in which ⊥ is the orthogonality in the sense of Rtz.
