gentleboost

作者通过matlab编程，对遗传算法进行了演示。遗传算法是一种全局优化算法，不仅对单个算法可以进行优化，也可以对多个算法进行组合优化。(Author through matlab programming, genetic algorithm demo. Genetic algorithm is a global optimization algorithm, not only for a single algorithm can be optimized, you can on a number of combinatorial optimization algorithm.)

ga算法 优化PID参数 功能简单实用 很好很强大(genetic agoration)

H1信道下的ML符号同步算法，symbol synchronization algorithm(H1 channel ML symbol synchronization algorithm)

对于惯性器件的标定进行自动处理,实现一次试验过程中完成对标度因素,安装角多个参数的标定(For calibration of inertial devices for automatic processing, once the testing process is completed on the scale factor, installation angle calibration of multiple parameters)

对影响雷达系统探测距离精度的因素分析并仿真(This function computes the range reduction factor and produces plots of RRF versus wavelength, radar to jammer range, and jammer power )

cell coordinates for algebraic reconstruction techniques algorithm

Gaussian distribution model

说明：  随机森林的一个入门级历程，此例程可以带有稀缺数据集，让你使用训练集和测试集感受到随机森林的强大之处。随机森林的分类与回归，非常之强。秒杀神经网络，是一个人见人爱的算法。(Random forest is an entry-level process, this routine can have scarce data set, let you use training set and test set to feel the power of random forest. The classification and regression of random forest is very strong. Seckill neural network is a love algorithm.)

swarm algorithm matlab file

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)