搜索资源列表
ELM预测
- 给出了一种极限学习机（elm)算法，并用汽油近红外光谱辛烷值数据集对ELM网络进行训练，最后用ELM对汽油辛烷值进行预测，并对预测结果进行评价。文件内含ELM工具箱，可直接在MATLAB运行。(An extreme learning machine (elm) algorithm is presented, and the ELM network is trained with the data set of gasoline near infrared spectroscopy octane
bi_sipls
- siPLS和biPLS是两种用于近红外光谱特征波段筛选的变量选择方法，可筛选出与兴关注指标密切相关的特征波段，并去除无关和干扰变量，提高模型稳健性(Bipls and sipls are two variable selection methods for screening the characteristic intervals of near-infrared spectra, which are closely related to performance indicators, to
sigma_graphene
- 太赫兹和中红外频率下，石墨烯表面电导率的公式(Formula for surface conductivity of graphene at terahertz and mid-infrared frequencies)
nirslab
- 近红外处理分析工具包，基于matlab，界面化操作简单易懂。
VerySource.c
- BiPLS iPLS等波段选择代码，实现近红外光谱波段挑选功能(Band selection code, the realization of near-infrared spectrum band selection function)
应用pls算法对近红外光谱进行回归分析
- 应用pls算法对岩石的LIBS光谱进行回归分析
binary PSO图像处理
- 二进制粒子群算法优化红外图像分割，亲测可用
MC-UVE-PLS
- MC-uve算法提取近红外光谱特征变量用于优化PLS模型的预测精度