2静电场-无电轴法

与经典的方法相比，使用具有长时间记忆细胞的递归神经网络(RNN)不需要或几乎不需要特征工程。数据可以直接输入到神经网络中，神经网络就像一个黑匣子，可以正确地对问题进行建模。其他研究在活动识别数据集上可以使用大量的特征工程，这是一种与经典数据科学技术相结合的信号处理方法。这里的方法在数据预处理的数量方面非常简单(Compared with the classical methods, the recursive neural network (RNN) with long-term memory cells does not need or almost need feature engineering. Data can be directly input into the neural network, which acts as a black box and can correctly model the problem. Other research can use a lot of Feature Engineering on activity recognition data sets, which is a signal processing method combined with classical data science and technology. The method here is very simple in terms of the number of data preprocessing)

说明：  windows上的segy显示程序可以安装使用(The segy display program on windows can be installed and used)

说明：  用于风电场区域的风速多步预测问题。模型基于ARIMA，通过数据预处理、进行建模，并使用我国山东省两个风电场的历史风速数据进行测试和分析。结果表明，模型的统计误差小。(Multi-step wind speed prediction in wind farm area. The model is based on ARIMA, through data preprocessing, modeling, and using historical wind speed data of two wind farms in Shandong Province of China to test and analyze. The results show that the statistical error of the model is small.)

自己写的扫雷，不需要图片加载，纯手绘图片-Write their own de-mining, no image loaded, pure hand-painted picture

内存映射修改大文件.关于数据采集系统中，大数据采集实时，采用的内存技术，很好的文章-Modify memory mapping large files. On the data acquisition system, the data acquisition in real time, using a memory technology, a very good article

说明：  用于定量的ANN,对于新手学人工神经网络的人来说因该不错,欢迎大家与我交流.(For quantitative ANN, for the novice learning artificial neural network for people because of the good, welcome you with my exchange.)

说明：  利用经典遗传算法解决目标目的地优化的问题(using classical genetic algorithms to sole the optimizm road, it is very good)

这是我当时学习单片机液晶12864时的文档和程序源代码。(This is what I was learning when the MCU LCD 12864 documents and source code.)

sc2440原理图和PCB封装图 好用哦-sc2440 schematic and PCB-to-use package plans Oh

分析二维正方格子上的逾渗问题，通过编写程序，得到临界概率 P 及临界指数 (PS:程序功能简单介绍:yushen.m 中计算了 Pinf 和 p 的关系，yushenmain.m 调用 yushen.m 来 计算不同 p 下的 Pinf;yushenhuixuan.m 中计算了 Rs 和 p 的关系，yushenmain2.m 调用 yushenhuixuan.m 来计算不同 p 下的 Rs。具体的实现程序中均有注释。)(The percolation problem on two dimensional square lattice is analyzed, and the critical probability P and critical exponent are obtained by programming. (PS: program functions simply: the relationship between Pinf and P is calculated in yushen.m, yushenmain.m is called yushen.m to calculate Pinf under different p; the relationship between Rs and P is calculated in yushenhuixuan.m, and yushenmain2.m invokes to calculate the differences under different P. There are annotations in the specific implementation program. ))