deep_q_network

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说明：  拉丁超立方采样法，实现拉丁超立方采样，适用于初学者，对采样方案的理解。对于大规模数据采样，得到特征性特点，十分有帮助(Latin hypercube sampling method, the realization of Latin hypercube sampling, suitable for beginners, the understanding of sampling scheme. For large-scale data sampling, it is very helpful to get the characteristic characteristics)

说明：  数据融合大咖邓勇2004年发表的加权平均法的代码(Data Fusion Code of Weighted Average Method Published by Dacai Deng Yong in 2004)

说明：  simulation of generator speed with mppt control

说明：  按照通常的应用顺序，处理地震数据包括三个主要步骤-去卷积，叠加和偏移。表示处理坐标（中点，偏移和时间）中的地震数据量。去卷积沿时间轴起作用。它从记录的地震迹线中删除了基本地震子波（通过地球和记录系统的各种作用修改的源时间函数），从而提高了时间分辨率。去卷积通过压缩小波来实现此目标。堆叠也是压缩的过程（速度分析和静校正（）。特别是，首先通过对每个CMP道集的迹线应用常规偏移校正（速度分析和静态校正），将数据量减少到零偏移的中点时间平面（棱镜的正面）。 ，然后沿偏移轴求和。结果是一个堆叠的部分。(Generally, seismic data processing includes three steps: deconvolution and migration. Represents the amount of seismic data in processing coordinates (midpoint, offset, and time). Deconvolution works along the time axis. It removes the basic seismic wavelet (the source time function modified by various actions of the earth and the recording system) from the recorded seismic traces, thus improving the time resolution. Deconvolution achieves this goal by compressing wavelet. Stacking is also a process of compression (velocity analysis and statics). In particular, by applying conventional offset correction (velocity analysis and static correction) to the trace of each CMP gather, the amount of data is reduced to the midpoint time plane of zero offset (the front of the prism). And then sum along the offset axis.)

该程序完成16个脉冲信号的脉压、动目标显示/动目标检测（MTI/MTD）(The program completes pulse pressure and moving target display / moving target detection of 16 pulse signals (MTI/MTD).)

visual c++开发的坦克小游戏源码，希望对大家有帮助-development of the visual c small game tanks source, and I hope to be helpful

吉利大学时小虎老师机器学习课件――介绍GA算法-Geely University Tigers teacher machine learning courseware- Introduction GA Algorithm

一本编程算法书，全书共30章，提供了差分方程模型、变分法、马氏链模型、神经网络模型等十几个模型的编程方法。(A programming algorithm book, a total of 30 chapters, provides a differential equation model, variational method, Markov chain model, neural network model and so on more than a dozen models of programming methods.)