搜索资源列表
spectral_pretreatment
- 光谱数据预处理程序,包括MSC,SNV,归一化,中心化,导数-Spectral data preprocessing procedures, including MSC, SNV, normalization, centering, etc. derivative
preprocessing-methods
- 一阶导数、二阶导数,矢量归一化(SNV),多元散射校正(MSC),数据中心化,直接信号校正,平滑处理六种光谱数据预处理的方法-A first derivative, second derivative, vector normalization (SNV), multiplicative scatter correction (MSC), the data center of the direct signal correction, smoothing six kinds of spectra
bp
- 实现BP神经网络建模,并绘制误差曲线,包括实现数据的归一化与反归一化-Achieve BP neural network modeling and rendering error curve, including data normalization and anti-normalization
Scalebox
- 数据预处理工具箱,可以对数据进行归一化与反归一化的处理。-Toolbox data preprocessing, data can be normalized and anti-normalization process.
preproceg
- 数据预处理程序,可以用于故障诊断数据的归一化-data processing code for fault diagnosis
24368
- 程序将界面与数据处理分开,界面采用MFC的对话框模板,对注册、训练、识别和主界面分别建立一个类,通过消息处理函数与用户进行交互,利用多线程来实时显示图像。 数据处理又分为了CFaceAlign(人脸检测+几何归一化)、CLightPrep(光照归一化)、CFaceFeature(Gabor特征提取)、CSubspace(计算Fisherface子空间)四个类,还有一个类 CFaceMngr 负责管理界面与数据之间的交流。这样的程序结构使对界面和算法彼此独立,互不影响。 每个类的具体方法
DWRR
- 采用动态加权综合评价方法建立评价模型,增大了评价结果的客观性。首先对评价指标数据进行归一化处理,然后选取偏大型正态分布函数作为动态加权函数建立评价模型,从而对评价指标观测值进行排序,最后用决策-Dynamic weighted comprehensive uation method to establish uation model, increasing the objectivity of uation results. First uation data normalization
zhouchengxinhaochuli
- 该程序我编写的用于轴承振动数据的归一化处理。-the program i wrote is to normaliate the vibration signals of bears.
shenjing
- BP神经网络在matlab中的实现,从归一化数据,到训练神经网络,最后验证神经网络-BP neural network in matlab normalized data, to train the neural network, the final verification of neural network
multifractal
- 多重分形维数计算,能够得出多重分形的结果图-function multifractal(A) A为归一化后的数据序列,为列向量 format long g L=length(A)
mapminmax
- mapminmax函数,用于将网络的输入数据或输出数据进行归一化,归一化后的数据将分布在[-1,1]区间内-mapminmax function used to input data or output data networks normalized, normalized data will be distributed in [1,1] interval
1
- 从Excel中载入数据,并求数据总能量,再对其进行归一化-Loading data Excel, and total energy demand data, and then be normalized
normalization
- 进行人脸识别时,首先对数据进行归一化处理,保证数据的一致性,有利于后续的识别过程-When face recognition, first data normalization process, ensure data consistency, it is conducive to the subsequent identification process
shangzhijisuan
- 对熵值法实现了matlab的快速实现,使用者应该注意的是对数据的标准化处理有多样性,自己可以根据自己的情况合适修改相应的代码部分,本代码采用的是归一化处理-Entropy calculation for uation
POSTest-AD
- 14路AD+DMA对霍尔传感器数据采集。并且对数据标准归一化。-14 Road AD+ DMA for the Hall sensor data acquisition. And standards for data normalization.
xunlian2
- 光伏发电量神经网络预测练习,光伏因素数据的提取,归一化处理以及预测-Photovoltaic power generation neural network forecasting exercise, the photovoltaic element data extraction, normalization and prediction
shuju-gui-yi-hua-
- 图像处理中关于归一化的相关算法,对图像数据处理非常有帮助-Image processing of normalized correlation algorithm, for image data processing is very helpful
Logging-data-normalization
- 测井指标数据度量不同,变量间的数值大小相差较大,为了将量纲不同、大小悬殊的不同指标数据变量转化到同等水平上,所以在进行数据分析前,先将变量分别做归一化处理-Logging data measure different indicators, numerical size larger difference between variables, in order to a different dimension, a different variable size disparity index
scaleForSVM
- 用SVM进行分类时,需要对原数据进行归一化处理。-When using SVM classification, the need for raw data normalized.
diabetes_figure
- diabetes数据的ELM分类,数据集已经归一化-ELM diabetes data classification, data collection has been normalized