Description: Find a classification error for a given decision surface D and a given set of patterns and targets -Find a classification error for a given dec ision surface D and a given set of patterns and ta rgets Platform: |
Size: 1024 |
Author:柳风 |
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Description: this m file can Find a (near) optimal solution to the Traveling Salesman Problem (TSP) by setting up a Genetic Algorithm (GA) to search for the shortest path (least distance needed to travel to each city exactly once)
Notes:
1. Input error checking included
2. Inputs can be specified in any order, so long as the parameter pairs are specified as a parameter , value -this m file can Find a (near) optimal solution to the Traveling Salesman Problem (TSP) by setting up a Genetic Algorithm (GA) to search for the shortest path (least distance needed to travel to each city exactly once) Notes: 1. Input error checking included2. Inputs can be specified in any order, so long as the parameter pairs are specified as a parameter, value Platform: |
Size: 4096 |
Author:宏姬 |
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Description: 多基时差雷达定位算法。以雷达测量误差分布规律入手，找到从多个地面时差雷达所测数据中找到较为精确的目标位置。对地面雷达的布站原则也有一定意义。-More than the time difference between the radar-based positioning algorithm. To the radar measurement error distribution to start to find the time difference from several ground-based radar measured data to find a more precise target location. Cloth on the ground radar stations have a certain sense principles. Platform: |
Size: 15360 |
Author:gaodahua |
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Description: 插值函数, 称为被插函数. 最小二乘拟合: 已知一批离散的数据 , 互不相同,寻求一个拟合函数 ,使 与 的误差平方和在最小二乘意义下最小.在最小二乘意义下确定的 称为最小二乘拟合函数-Interpolation function, referred to as interpolation function. Least-squares fitting: a known number of discrete data, different from each other, to find a fitting function, so that the error sum of squares and least-squares sense at a minimum. At a minimum the sense of二乘identified as the least-squares fitting function Platform: |
Size: 395264 |
Author:fengyu |
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Description: 极大似然法，估算已知结点的位置，求出误差-Maximum likelihood method to estimate the location of known nodes, find the error Platform: |
Size: 1024 |
Author:gao |
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Description: 通过用最小距离分类判别方法，用MATLAB程序找出最小距离分类判别时的识别界面，从而进行识别已知的两类训练样本，并分析其识别错误率。-By using minimum distance classifier discriminant method, using MATLAB program to find the minimum distance classifier recognition interface when the judge, which is known to identify the two types of training samples, and analyze the recognition error rate. Platform: |
Size: 4096 |
Author:lixue |
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Description: 计算MEMS陀螺的Allan方差，并求出与Allan方差相关的五个系数，最后在求出拟合误差-Allan variance calculation of MEMS gyroscope, and find the Allan variance associated with the five factors, and finally find the fitting error Platform: |
Size: 203776 |
Author:牛振中 |
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Description: 下面的程序是求多项式y=x^6-10x^5-26x^4+344x^3+193x^2-1846x-1680在区间[-8,8]的最小值，误差不超过0.001。对于这个复杂的多项式，可先用matlab绘制函数的大概曲线，确认函数的最小值大概处于[-8,8]之间，再用本程序求出精确解。 -The following procedure is a polynomial y = x ^ 6-10x ^ 5-26x ^ 4+344 x ^ 3+193 x ^ 2-1846x-1680 in the interval [-8,8] of the minimum error is not more than 0.001. This is a complex polynomial, can first draw function with matlab about curves, to confirm the function of the minimum are probably in [-8,8] range, and then find the exact solution of this program. Platform: |
Size: 2048 |
Author:吴浩 |
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Description: 数据处理及误差分析采用了matlab软件来实现，它的界面虽然没有VB等直观简便，但其可调用的函数多，实现起来比较方便，程序中已经实现的功能有：
（1）求算术平均值；
（2）求残余误差（绝对误差）；
（3）求标准差；
（4）判断粗大误差，如果发现粗大误差,剔除粗大误差后再进行计算；
（5）判断数据是否具有线性误差或者周期性误差。
-Data processing and error analysis using matlab software to achieve, its intuitive interface, while not VB so simple, but its function can be called many realize it was easier, the program has been implemented features are: (1) Find the arithmetic mean (2) Find the residual error (absolute error) (3) Find the standard deviation (4) to determine gross error, if found to gross error, calculated after excluding gross error (5) to determine whether data has linear error or Periodic error. Platform: |
Size: 2048 |
Author:kiddy |
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Description: matlab出错信息的技术，可以帮助我们快速找到出错的原因，提高编程效率。-matlab error information technology that can help us quickly find the wrong reasons, to improve programming efficiency. Platform: |
Size: 320512 |
Author:王阳俊 |
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Description: 在这项工作中所使用的方法是基于一个由大卫阿诺德教程。
http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf
这将运行该Logistic.m带来了图形用户界面。
1。放弃在列的格式文本文件中的x值
2。放弃在山口格式文本文件中的y值
3。的阴谋初始 按钮将绘制的分布
4。 查找适合 按钮，会找到最适合
5。 重置 将删除的情节（虽然我想打扫所有的领域 -没有时间）
5。地下K，糖尿病在下列公式中的值
Ÿ 等于k/（1+进出口（- G *的（十型录）））
6。上证所给出了squred误差之间的拟合函数与实际数据的总和
7。消委会提供的相关合作关系的实际数据拟合功能和效率-The method used in this work is based on a tutorial by David Arnold.
http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf
RUN The Logistic.m this will bring up the GUI.
1. Give the x values on a text file in column format
2. Give the y values on a text file in col format
3. Plot Initial Button will plot the distribution
4. Find Fit button will find the best fit
5. Reset will remove the plot (Although I wanted to clean all the fields- did not have time)
5. K, G, Dm are the values in the following equation
y = K./(1+exp(-G*(x-Dm)))
6. SSE gives the sum of squred error between the fitted function and the actual data
7. CC give the correlation co-efficient between the fitted function and actual data Platform: |
Size: 11264 |
Author:abeaqhax |
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Description: 在闭启键控通信系统中，两个假设下的观察信号模型为：
若两个假设的先验概率相等，且 , ,采用最小平均错误概率准则，试确定判决表达式，并求最小平均错误概率，利用MATLAB软件比较其理论值、仿真值。上述情况中，噪声 是均值为 ，方差为 的高斯噪声，仿真信噪比范围： ，间隔为 。
-In the closed Kai keying communication systems, the observed signal model under two assumptions: equal to the a priori probability of two assumptions, and the minimum average error probability criterion, and try to determine the verdict expression and find the minimum average error probability, using MATLAB software to compare the theoretical value, the simulation values. The above case, the noise is the mean and variance of the Gaussian noise, simulation the SNR ranges: interval. Platform: |
Size: 1024 |
Author:陈艳杰 |
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Description: 相控阵天线阵列的密度加权matlab程序代码。
运行gui.m文件
lmax.m和lmin.mLinear_func.m最后几行被调用，放在和Linear_func.m路径相同的文件夹下即可
运行后command window里第一条分割线上面是第一幅图的几个值，第二条分割线上面是第二幅图的几个值。其中，peak_first是数值最大的峰值，peak_second是数值第二大的峰值(第一旁瓣)，theta_var是与
peak_first最近的左右两个谷值横坐标的距离。
因为是找半峰值点的，因为都是小数，在数组里没有正好等于主瓣幅值一半的点，只有接近一半的点，所以要设定一个范围比如大0.05或小0.05都认为是半峰值，但是有的数组里0.05的范围还是太小，所以可能报错。-Phased array antenna array the density weighted matlab program code. The last few lines of the run gui.m the file lmax.m lmin.mLinear_func.m call, same placed Linear_func.m path folder above the dividing line of the command window to run the first picture the several values above the dividing line several values of the second image. Wherein, peak_first numerical maximum peak the peak_second is the the numerical second largest peak (first sidelobe), the theta_var is the abscissa and peak_first recent about two valley distance. To find half the peak point are decimal, the array does not just equal to main lobe amplitude half points, only nearly half points, so you want to set a range, such as 0.05 or 0.05 are considered semi-peak some array, but the range of 0.05 or too small, it may be an error. Platform: |
Size: 15360 |
Author:周萍 |
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Description: Matlab函数库，可以快速查找函数的意义。形式例如：errorbar 带误差限的曲线图-Matlab library, you can quickly find the significance of the function. For example: errorbar ：form with error limit curve Platform: |
Size: 522240 |
Author:glywhh |
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Description: 基于GP算法的函数发现问题，输入可以有多个，程序用于发现输入与输出的函数关系，利用最小二乘来计算模型与实际测得输出的误差。-Function is found that the problem, based on GP algorithm can have multiple input, program is used to find the function between input and output, using the least squares error of the calculation model and the actual measured output. Platform: |
Size: 17408 |
Author:吕图园 |
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Description: 实验要求：
1. 以身高为例，画出男女生身高的直方图并做对比；
2. 采用最大似然估计方法，求男女生身高以及体重分布的参数；
3. 采用贝叶斯估计方法，求男女生身高以及体重分布的参数（假定方差已知，作业请注明自己选定的一些参数情况）；
4. 采用最小错误率贝叶斯决策，画出类别判定的决策面。并判断某样本的身高体重分别为(160,45)时应该属于男生还是女生？为(178,70)时呢？(Experimental requirements:
1. take height as an example, draw the height histogram of male and female students, and make a comparison;
2. the maximum likelihood estimation method was used to calculate the height and weight distribution parameters of male and female students;
3. Bayesian estimation method is used to find the parameters of height and weight distribution of male and female students (assuming variance is known, please indicate some parameters selected by homework);
4., the Bayes decision with minimum error rate is used to draw the decision surface of category decision. And determine the height and weight of a sample respectively (160,45), should belong to the boys or girls? What about (178,70)?) Platform: |
Size: 237568 |
Author:PPLL
|
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Description: K-means算法是硬聚类算法，是典型的基于原型的目标函数聚类方法的代表，它是数据点到原型的某种距离作为优化的目标函数，利用函数求极值的方法得到迭代运算的调整规则。K-means算法以欧式距离作为相似度测度，它是求对应某一初始聚类中心向量V最优分类，使得评价指标J最小。算法采用误差平方和准则函数作为聚类准则函数。(The K-means algorithm is a hard clustering algorithm, which is representative of the prototype based objective function clustering method. It is the distance from the data point to the prototype as the objective function of the optimization, and the method of using the function to find the extremum is used to get the adjustment rules of the iterative operation. The K-means algorithm takes Euclidean distance as the similarity measure, it is to find the V optimal classification corresponding to an initial cluster center vector, so that the evaluation index J is the smallest. The error square sum criterion function is used as a clustering criterion function.) Platform: |
Size: 1024 |
Author:Daizy7 |
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Description: MATLAB课堂考勤（GUI）
该课题为基于MATLAB pca的人脸考勤系统。可以从一副图像中找出多人人脸，分割，计算人数，然后提前制作好这些人的人脸库，进行逐一识别是谁，是不是库内人脸，如是，具体是谁，如果不是，那提示库外人脸。具有友好的人机交互界面，还可以二次开发成摄像的，但是摄像头误差可能会有点。识别流程为：读取图像，人脸定位，人数统计，人脸分割，人脸识别，库内外判别。(The subject is face attendance system based on MATLAB PCA. We can find multiple faces from an image, segment and calculate the number of people, and then make a face database of these people in advance to identify who they are one by one, whether they are the faces in the database, if so, who they are, and if not, prompt the faces outside the database. It has a friendly human-computer interface and can be developed into a camera again, but the camera error may be a little bit. The recognition process includes: image reading, face location, number of people statistics, face segmentation, face recognition, identification inside and outside the database.) Platform: |
Size: 18601984 |
Author:for Matlab |
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Search - find error matlab