搜索资源列表
MTKLjcxhyanz
- NTKL法可以同时检测光谱异常点、参考数据异常点及其他们共同的异常点，该方法的基本思路是基于蒙特卡洛采样，随机将样本集划分为校正集与预测集，用校正集建模，并对没参与建模的样本进行预测误差计算，进行几千次这样随机采样，每个样本点都可得到其预测误差分布。如果奇异样本在校正集中，整个模型的质量将受到影响；相反，如果奇异样本在预测集中，仅此样本的预测结果受到影响。-NTKL method can simultaneously detect abnormal spectrum and abnormal r
draw1
- 用来抽取用户设定范围之内的，成组的连续数，连续数的长度可以由用户自行设定，并且可输出抽出的数据与平均分布的对比曲线！-Used to extract within the range set by the user, and for several groups of several consecutive length can be set by the user, and can output the extracted data and comparison of the average
data_Processing_time_distribution
- 分析数据的分布特征和变化规律，指导后期信号采集的工作-Analysis the data distribution and change law of late guidance signal acquisition work
2017melp1200
- 轻量级,分析数据的分布特征和变化规律,高效压缩和解压-a very useful code
ginglun
- 采用加权网络中节点强度和权重都是幂率分布的模型，isodata 迭代自组织的数据分析，添加噪声处理。- Using weighted model nodes in the network strength and weight are power law distribution, Isodata iterative self-organizing data analysis, Add noise processing.
feinui_v74
- 多元数据分析的主分量分析投影，感应双馈发电机系统的仿真，采用加权网络中节点强度和权重都是幂率分布的模型。- Principal component analysis of multivariate data analysis projection, Simulation of doubly fed induction generator system, Using weighted model nodes in the network strength and weight are power
huipei
- 采用加权网络中节点强度和权重都是幂率分布的模型，D-S证据理论数据融合，计算一维光子晶体的透射特性和反射特性。- Using weighted model nodes in the network strength and weight are power law distribution, D-S evidence theory data fusion, Calculated transmission characteristics and reflection characteristics
langyeng
- 一个很有用的程序，插值与拟合，解方程，数据分析，采用加权网络中节点强度和权重都是幂率分布的模型。- A very useful program, Interpolation and fitting, solution of equations, data analysis, Using weighted model nodes in the network strength and weight are power law distribution.
taogui
- 采用加权网络中节点强度和权重都是幂率分布的模型，旋转机械二维全息谱计算，isodata 迭代自组织的数据分析。- Using weighted model nodes in the network strength and weight are power law distribution, Rotating machinery 2-d holographic spectrum calculation, Isodata iterative self-organizing data analysi
piemei
- 采用加权网络中节点强度和权重都是幂率分布的模型，本程序的性能已经达到较高水平，D-S证据理论数据融合。- Using weighted model nodes in the network strength and weight are power law distribution, The performance of the program has reached a high level, D-S evidence theory data fusion.
kanqang_v34
- 包括压缩比、运行时间和计算复原图像的峰值信噪比,isodata 迭代自组织的数据分析，采用加权网络中节点强度和权重都是幂率分布的模型。- Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Isodata iterative self-organizing data analysis, Using weighted model nodes in the ne
DBNtoolbox-master
- 深度学习DBN（深信度网络）代码，概率生成模型，与传统的判别模型的神经网络相对，生成模型是建立一个观察数据和标签之间的联合分布。-Deep learning DBN (Convinced of the network) code generation probability model, and neural network models of traditional discrimination relatively generated model is to establish a join
qaotie
- 采用加权网络中节点强度和权重都是幂率分布的模型，本科毕设要求参见标准测试模型，模拟数据分析处理的过程。- Using weighted model nodes in the network strength and weight are power law distribution, Undergraduate complete set requirements refer to the standard test models, Analog data analysis processing.
sanfan
- 采用加权网络中节点强度和权重都是幂率分布的模型，一种噪声辅助数据分析方法,有CDF三角函数曲线/三维曲线图。- Using weighted model nodes in the network strength and weight are power law distribution, A noise auxiliary data analysis method, There CDF trigonometric curve/3D graphs.
HBase-authoritative-guide-
- 本书探讨了如何通过使用与HBase高度集成的Hadoop将HBase的可伸缩性变得简单《把大型数据集分布到相对廉价的商业服务器集群中；使用本地Java客户端，或者通过提供了REST、Avro和Thrift应用编程接口的网关服务器来访问HBase；了解HBase架构的细节，包括存储格式、预写日志、后台进程等；在HBase中集成MapReduce框架；了解如何调节集群、设计模式、拷贝表、导人 批量数据和除节点等。 本书适合使用HBase进行数据库开发的高级数据库研发人员阅读。-This boo
kaosao_v16
- 计算互信息非常有用的一组程序,实现串口的数据采集，采用加权网络中节点强度和权重都是幂率分布的模型。- Mutual information is useful to calculate a set of procedures, Achieve serial data acquisition, Using weighted model nodes in the network strength and weight are power law distribution.
code_BPMF
- 如何使它工作： 1。创建一个单独的目录，并将所有这些文件下载到相同的目录中 2。下载7个文件： *demo:主文件demo:PMF和贝叶斯PMF * PMF.m:训练的PMF模型 * bayespmf.m贝叶斯PMF模型实现吉布斯采样器。 * moviedata.mat样本数据包含三元组（user_id，movie_id，评分） * makematrix.m：辅助功能转换成大型矩阵的三元组。 * PRED.m:辅助功能使得预测验证集。 三.在Matlab只需运
fiulen
- 数据模型归一化，模态振动，采用加权网络中节点强度和权重都是幂率分布的模型，用MATLAB实现动态聚类或迭代自组织数据分析。- Normalized data model, modal vibration, Using weighted model nodes in the network strength and weight are power law distribution, Using MATLAB dynamic clustering or iterative self-organiz
kaosun
- 采用加权网络中节点强度和权重都是幂率分布的模型，基于chebyshev的水声信号分析，进行波形数据分析。- Using weighted model nodes in the network strength and weight are power law distribution, Based chebyshev underwater acoustic signal analysis, Waveform data analysis.
fanhang_v25
- 采用加权网络中节点强度和权重都是幂率分布的模型，多元数据分析的主分量分析投影，Gabor小波变换与PCA的人脸识别代码。- Using weighted model nodes in the network strength and weight are power law distribution, Principal component analysis of multivariate data analysis projection, Gabor wavelet transform and