spei_test

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)

系统介绍电力系统可靠性的相关知识。获多个国家基金支持。(System describes the knowledge of power system reliability. A number of countries eligible for funding support.)

说明：  无语了，为啥要20字，哈哈哈哈哈哈哈哈，今天天气不错(Speechless, why 20 words, ha ha ha ha ha ha ha ha ha, the weather is good today)

Delphi测试缓冲区溢出 堆栈溢出，本程序用于堆栈溢出测试，超出6个字符的话则溢出。作者：曾繁威 于重庆学习作。输入“aaaaaaaaaaL$E”,可以溢出执行“溢出执行”按钮的代码。

libmysql.dll-5.6.21.0-32bit

利用输入输出数据，进行ARMA算法，评价单输入单输出系统的性能指标(Using the input and output data, the ARMA algorithm is used to evaluate the performance index of the single input and single output system.)

批量处理图片，对图片二值化着色处理，便于对图片的不同应用需求进行分析！(Batch processing of the picture, coloring pictures binarization processing, easy to picture the different application requirements for analysis!)

vb6,0报表控件 6,0中,动态报表很难实现,此程序帮你解决了此类问题(Vb6, control of 6, 0 0 statements, it is difficult to realize dynamic statements, this program help you to solve such problems)

single cycle mips design by verilog.

以广域相量测量系统为技术平台，建立基于模型预测控制的含规模化风电场/群互联电网的负荷频率分散预测控制模型。以典型双区域负荷频率控制模型为例，考虑不同风电渗透率情况。仿真研究结果表明，所提基于模型预测控制的负荷频率分散控制模型不但能够有效地跟踪风电输出功率的随机波动， 维持系统频率及区域间交换功率在较小的范围内变化， 并且控制效果明显优于常规 PI 型负荷频率控制器。(Based on the wide area phasor measurement system (WAPMS), a decentralized load-frequency predictive control model for large-scale wind farm/cluster interconnected power grids based on model predictive control (MPC) is established. The typical two-zone load frequency control model is taken as an example to consider the different wind power permeability. The simulation results show that the proposed decentralized load frequency control model based on model predictive control can not only effectively track the random fluctuation of wind power output, but also maintain the change of system frequency and inter-area exchange power in a small range, and the control effect is significantly better than that of conventional PI load frequency controller.)