搜索资源列表
rbfSrc
- This program demonstrates some function approximation capabilities of a Radial Basis Function Network. The user supplies a set of training points which represent some \"sample\" points for some arbitrary curve. Next, the user specifies the number o
baotong
- 报童问题的计算机仿真 ％tm一轮实验的预定模拟天数 ％t一轮实验的仿真天数累积值 ％z订报量 ％z 最优订报量 ％g订报量z之上界 ％s1损失值之累计值 ％s最小损失值值 ％r按概率分布产生随机售报量样本-newsboy problem of computer simulation% tm an experimental simulation of the target number of days a t% of the experimental days of
hopfild1
- Hopfield 网——擅长于联想记忆与解迷路 实现H网联想记忆的关键，是使被记忆的模式样本对应网络能量函数的极小值。 设有M个N维记忆模式，通过对网络N个神经元之间连接权 wij 和N个输出阈值θj的设计，使得: 这M个记忆模式所对应的网络状态正好是网络能量函数的M个极小值。 比较困难，目前还没有一个适应任意形式的记忆模式的有效、通用的设计方法。 H网的算法 1）学习模式——决定权重 想要记忆的模式，用-1和1的2值表示 模式：-1，-1，1，-1，1，1，... 一般表示： 则任意两个神经元
goose-0.0.11.tar
- 非常著名的曲线拟合程序，很长，要看懂需要花不少的时间。内含例题-A very famous curve fitting program,very long,it s needs much time to understand it.Include samples
AutomatedNegotiatioDecisionModelasedonMachineLearn
- 模型利用协商历史中隐含的信息自动对数据进行标注以形成训练样本，用最小二乘支持向量回 归机学习此样本得到对手效用函数的估计，然后结合自己和对手的效用函数构成一个约束优化问题，用遗传算法求 解此优化问题，得到的最优解就是己方的反建议．实验结果表明，在信息保密和没有先验知识的条件下，此模型仍然 表现出较高的效率和效用-The proposed model labels the negotiation history data automatically by making full use
proj10-01
- 在试验中编写程序实现了K均值聚类算法,K均值聚类的原理是：在训练样本中找到C个聚类中心，每个聚类中心代表一个类的中心。然后将样本归类到与其最近的聚类中心的那一类。 C的选择是通过先验知识或经验选取的。聚类中心是通过算法迭代求得的。-In the test preparation process to achieve a K means clustering algorithm, K means clustering principle is: in the training samples to
sandlerw
- Calculate the Sandler s test for paired samples
myspecgram
- Linear prediction follows naturally from the general mathematics of linear systems. As the system output is defined as a linear combination of past samples, the system’s future output can be predicted if the scaling coefficients bj and ak are k
fit_ML_maxwell
- fit_ML_normal - Maximum Likelihood fit of the log-normal distribution of i.i.d. samples!. Given the samples of a log-normal distribution, the PDF parameter is found fits data to the probability of the form: p(x) = sqrt(1/(2*pi))/(s*x)*
fit_ML_rayleigh
- fit_ML_rayleigh - Maximum Likelihood fit of the rayleigh distribution of i.i.d. samples!. Given the samples of a rayleigh distribution, the PDF parameter is found fits data to the probability of the form: p(r)=r*exp(-r^2/(2*s))/s wit
fit_rayleigh_pdf
- fit_rayleigh_pdf - Non Linear Least Squares fit of the Rayleigh distribution. given the samples of the histogram of the samples, finds the distribution parameter that fits the histogram samples.fits data to the probability of the form: p(r)=r*exp(-
zifushibie
- Matlab的BP网络字符识别 只用理想样本训练了，大家用的时候可以用加噪后的再进行训练即可 -BP network character recognition Matlab' s the ideal training samples only, and everyone can use when adding noise to the training again after the
Etap1
- It is the corresponding testing module of the function that is specified in the training phase. test_set is a NxD matrix where N is the number of samples in the test set and D is the dimension of the feature space. true_labels is a Nx1
ExtractRROwithoutIndex
- A function which can extract repeatable signal from rotationary system without rotating index. It s re-sampling based to automatically adjust rate so each rev has the integer number of samples.
renlianshibie
- 人脸识别的C++源码神经网络的输入可以是降低分辨率的人脸图像、局部区域的自相关函数、局部纹理的二阶矩等。这类方法同样需要较多的样本进行训练，而在许多应用中，样本数量是很有限的。-The neural network s input can be lower resolution of face image, local area of the autocorrelation function, local texture of second order moment, etc. This kin
fisher
- 利用Fisher线性分类器对两类样本进行分类的方法。-Fisher s linear classification methods to classify the two types of samples.
Fading-channel-simulation
- 衰落信道仿真 function r = rayleigh( fd, fs, Ns ) r = rayleigh(fd,fs,N) A Rayleigh fading simulator based on Clarke s Model Creates a Rayleigh random process with PSD determined by the vehicle s speed. INPUTS: fd = doppler frequency
select-max-from-min
- 模式识别中的最大最小距离算法，这程序处理二维数据，我发现网上的程序都是设置一个很大的数组，但本程序是无论多少数据样本都可以处理的。结果存放在两个数组中，z数组存放中心数据，r数组的cente是样本所属的S-Maximum and minimum distance algorithm in pattern recognition, this program deal with two-dimensional data, I found the online program are set to a
Fuzzy-Classifier-for-Iris-Data
- A Fuzzy Classifier for Iris Data that will train with samples data and classify input data based on it s trainings-A Fuzzy Classifier for Iris Data that will train with samples data and classify input data based on it s trainings...
exercise319a
- (MATLAB) On the companion website, you will find in the directory Chap exercises/chapter3 a workspace ex3M2.mat. In this workspace, you will find waveforms of the words “we” and “be” (at 10000 samples/s) in the array we be 10k. The waveforms and