搜索资源列表
Kalman3.rar
- 卡尔曼滤波程序,完成一维数据卡尔曼数据滤波,Kalman filtering process, the completion of one-dimensional data Kalman filter data
dps7.05.rar
- 唐启义教授的DPS7.0版,是国内第一个数据挖掘或数据分析应用软件,内有统计分析、层次分析法、模糊综合评价、神经网络等多个领域,内有一个解密文件。,Professor Tang Qiyi the DPS7.0 version is the first data mining or data analysis applications, there is statistical analysis, analytic hierarchy process, fuzzy comprehensive ev
CCA
- 气象常用程序CCA程序,包含了fortran程序及练习所使用的数据-Common procedures of Meteorological CCA process, including the fortran program and the data used to practice
GPSwxwz
- 用matlab编写的GPS卫星位置解算程序,可用GPS数据来处理计算卫星位置-Prepared using GPS satellite position matlab solver can be used to process GPS calculated satellite position data
MCB
- 实现动态分区内存管理: 1.数据结构、分配算法设计 2.加深对动态分区存储管理方式及其实现过程的理解。 -Dynamic partition memory management: 1. Data structure, distribution algorithm 2. Better memory management for dynamic partitions and its realization process of understanding.
LS3P
- 最小二乘法(LS)仿真三个参考节点定位一个定位节点,包括仿真参数和过程数据收集-Least squares (LS) simulation of three reference nodes positioning a positioning node, including the simulation parameters and process data collection
EZW算法的过程详解和Matlab代码
- EZW算法的过程详解和Matlab代码(1)构建扫描次序表(修正小波树结构)写出EZW算法的Matlab程序,可以实现图像的任意级别的小波分解和重构、以及任意精度的EZW编解码过程。下面,我们以一幅16*16的Lena局部图像经过3级小波分解后的小波数据为例详细的说明EZW算法的编解码过程,并给出相应的Matlab代码。-Explain the process of EZW algorithm and Matlab code (1) building a scan list (Amendment
pre_bp
- bp神经网络通用预测程序,matlab2009编写,可直接输入数据。-bp neural network forecasting process common, matlab2009 preparation, can be directly input data.
biaodashiqiuzhi
- 数据结构 表达式求值演算 ~输入一个表达式 输出求值的过程和结果!-Expression for the value of the data structure calculus ~ enter an expression for the value of the output of the process and results!
C4_5.m
- his algorithm was proposed by Quinlan (1993). The C4.5 algorithm generates a classification-decision tree for the given data-set by recursive partitioning of data. The decision is grown using Depth-first strategy. The algorithm considers all the poss
ID3
- 实现ID3算法,在结果中以树表示出来。决策树是对数据进行分类,以此达到预测的目的。该决策树方法先根据训练集数据形成决策树,如果该树不能对所有对象给出正确的分类,那么选择一些例外加入到训练集数据中,重复该过程一直到形成正确的决策集。-ID3 algorithm to achieve, in the results that come out to the tree. Decision tree is to classify the data, thus achieving the purpose
loadrinexob
- RINEX 2.1 观测数据文件读取程序-RINEX 2.1 data file read process observed
emd_20100823
- 经验模式分解的一个经典例子 可自动演示 emd 处理数据的全流程-Empirical Mode Decomposition is a classic example of automatic data processing demonstrate the whole process emd
MATLAB_Heart_sounds
- 配合上传的C8051程序,通过串口接收心音数据,并通过图形显示。串口接收数据为中断方式。-With the upload process of C8051F020, through the serial port to receive heart sound data, and useing graphics to display.Received through the serial port interrupt.
AR
- 一个MATLAB程序,附有数据和详细计算过程,自回归模型到分析过程,下载看看就知道了-A MATLAB program, with data and detailed calculation process, since the regression model to the analysis process, download to see if the know
DM4
- 执行流程: 1. 用户输入参数:K的选择,训练数据,测试数据的路径; 2. 读取训练数据集和测试数据集文件,用ArffFileReader类读取并组织起InstanceSet数据结构; 3. 利用上面的相似度量标准,对每一个测试集中的Instance,计算与其最相似的K个训练集中的Instance,通过投票进行分类,将分类结果存储经Instance的成员变量targetGuess中; 4. 对分类结果进行度量,包括分类正确率,各种类别实例的Precision,Recall;Con
jiasudu
- 对加速度传感器采集的加速度数据进行二次积分,得出位移数据,并在几分过程中进行积分基线的标定,较精确。-The acceleration of acceleration sensors to collect data, a second integral part of displacement data, and in the process of integration, the more precise the baseline calibration.
dd_tools_1_6_3
- SVDD的工具箱,可以很好的处理一类分类问题,详见Support Vector Data Descr iption一文-SVDD tools,can be used to process one class classification problem,for more details ,we refer to "Support Vector Data Descr iption"
BP
- BP神经网络的整个训练过程(从数据剔除,平滑处理,归一化,到构建训练网络,反归一化,你拟合作图)毕设课题作业,保证可用-BP neural network the training process (removed from the data, smoothing, normalization, to build the training network, anti-normalization, you wish to cooperate diagram) subjects completed
decisiontree
- 这个是一个关于建立决策树的python程序.本程序运用entropy来决定splitting point.处理的数据得在程序中输入.希望大家觉得有用-This is a decision tree on the establishment of procedures for the python. Entropy of the process to decide the use of splitting point. Deal with the data was input in the pro