FNN

说明：  智能控制程序，适合看智能控制[刘金琨编著][程序源代码](无)

说明：  很多分割算法的例子 图像处理的同志大家了一下再看啊看你(Many examples of image processing segmentation comrades we had to see what you look at ah)

this file contain ray generation for rayliegh fading.

SVM MATLABSVM MATLABSVM MATLABSVM MATLAB(Support Vector Machine SVM and nuclear assembly MATLAB function)

xaxa zgr l zurag bitgii hoshgorooroi

非常有用的matlab 程序例子，三维球面程序！！(It is very usefull to draw a ball.)

地震资料 数据处理 分频去噪 模块 主要压制随机噪音 异常振幅 野值 大值 方法特点：1 针对性强，主要去除随机噪音；2 随机噪音识别能力强，达到了较高的去噪水平；3 具有自适应性，能根据不同位置的不同特点统计识别噪音；4 振幅保真，对有效信号的保护性好；5 操作者可根据经验选择参数组合灵活去噪，达到较好的结果。 应用对比：为了展示本模块的去噪效果，所选取的对比对象是某知名成熟商业软件的分频去噪模块，其去噪效果在当前诸多成熟软件模块中是佼佼者，在地震资料处理界具有很好的口碑。 通过对比，说明本模块：1 针对性强，主要去除随机噪音和异常振幅等。2 随机噪音识别能力强，达到了较高的去噪水平。3 具有自适应性，能根据不同位置的不同特点统计识别噪音。4 振幅保真，对有效信号的保护性好。5 操作者可根据经验选择参数组合灵活去噪，达到较好的结果。(Frequency-dependent noise attenuation seismic data, processing module, is mainly to suppress random noise, denoising abnormal/large amplitude values Method of characteristics: 1 targeted, mainly to remove random noise 2 random noise and strong ability to identify , reach a higher level of de-noising 3 is adaptive , able to identify the noise statistics according to the different characteristics of different positions 4 amplitude fidelity , the effective protection of the signal is good 5 denoising operator flexibility to select the combination of parameters according to the experience , to achieve better results . Application contrast: To demonstrate the effect of the de-noising module , the selected object is a well-known comparative commercial software divide mature noising module de-noising effect is the current leader in many mature software module in seismic data processing industry has a good reputation. By contrast, the description of the module : a targeted, mai)

Contains excellent and exact implementation of Markov Dec. Processes using Policy Iteration and Value Itreration from the book Perter Norvig for AI.

小数据量法求Lyapunov的优化程序,把网上的源程序优化过了，勘除了一下错误(small data Lyapunov method for the optimization of procedures and on-line optimization of the source too. In addition to this survey errors)

fingerprint recognization with more dip results