single_exponential_smoothing

Source code of AFIS (pattern recognition)

matlab实现的小球运动的源程序，不错的matlab GUI 例程(Matlab achieve a small ball of the source, a good GUI Matlab routines)

Matlab programming tips.

灰色系统GM（1，1）模型的源代码，实现在数据不充分的情况下对未来的预测。(Gray system GM (1,1) model of the source code, data is not sufficient to achieve in the case of predictions for the future.)

正向正态云发生器算法，利用Matlab或VC编程实现正向正态云发生器算法，绘制出云模型。(Forward normal cloud generator)

F-P腔功率谱，用来仿真法布里珀罗腔的功率谱图，可以改反射率(FP cavity power spectrum, to simulate the power spectrum Fabry-Perot cavity, the reflectivity can be changed)

student s experiment majored in automation

matlab2014a 破解,很好用的，已经测试过，好用请给好评。(matlab 2014a crack,easy use,tested.)

基于IPOPT（内点法）求解电力系统经济调度问题，附有算例仿真测试。(The economic dispatch problem is solved by the IPOPT solver and a test system is used for verifying the effectiveness of the method.)

这是用身高体重数据进行性别分类的实验。 用最小错误率贝叶斯分类器决策时，首先通过比较概率大小判断一个体重身高二维向量代表的人是男是女，然后再逐一与已知性别的数据比较，就可以得到错误率的统计。然后改变先验概率，重复上面的过程，观察数据结果的变化。 用最小风险贝叶斯分类器决策时，首先求出用最小错误率贝叶斯分类器得到的条件概率；然后根据人为给定的决策表，根据公式算出条件风险；然后逐一比较条件风险，找出使条件风险最小的决策（也就是分类）。最后用分类得到的结果逐一比较已经知道的原始数据，统计处错误率。 (This is the height and weight data for gender classification experiment. With the minimum error rate Bayesian classifier decisions , first by comparing the probability of the size and weight to height to determine a person represented by two-dimensional vector is male or female , and then one by one with known gender data comparison, the statistical error rate can be . Then change the prior probability , repeat the above process , the results of the changes observed data . Bayesian classifier with the minimum risk decision-making , first find the minimum error rate using Bayesian classifier to get the conditional probability then artificially given decision table , according to the formula to calculate conditional risk and then one by one more conditional risk , to find ambassador to the conditions of minimum risk decision making (ie classification) . Finally, the results obtained with the classification by-side comparison of the raw data have been aware of SD error rate . )