night-on-moon

基于小波网络及油中溶解气体分析的电力变压器故障诊断方法(Based on Wavelet Networks and Dissolved Gas Analysis of Power Transformer Fault Diagnosis)

finger扫描-finger scanning

基于梯度下降的RNN，训练过程用到了BPTT算法，通俗易懂(RNN based on gradient descent algorithm)

可对本机网络访问信息进行监控 解压后运行HSSnifferSeniorProjectSnifferUIinDebugsnifferUI.exe即可，enjoy it！-be right for the network access control information unpacked running HSSniffer SeniorProject SnifferUI bin Debug snifferUI.exe can, enjoy it!

此代码使用 C 到套接字的一部分，你可以节省大量的时间阅读我的代码，用容易理解的评论后的程序

Adaboost体现的是“三个臭皮匠，胜过一个诸葛亮”，它是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)， 然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）(Adaboost embodies "three smelly cobblers are better than one Zhuge Liang". It is an iterative algorithm. Its core idea is to train different classifiers (weak classifiers) for the same training set. Then these weak classifiers are combined to form a stronger final classifier (strong classifier).)

人工智能方法解决天文学中的问题。属行业发展前沿内容，很新鲜，不过是英语的。(artificial intelligence solution to the problems in astronomy. Forefront of the development of the industry is content, fresh, but is English.)

说明：  散点的聚类，详细内容参看文章，文章在文件夹中，自己阅读可知。(For the clustering of scattered points, please refer to the article for details. The article is in the folder and you can read it by yourself.)

贪心算法等一些内容，欢迎下载使用(greedy algorithm, and other content downloaded welcome to use.)

求解非线性方程组方法有经典算法以及近年来流行的遗传算法．牛顿法及其改进形式,但是此类算法的收敛性在很大程度上依赖于初始点的选择，对于某些非线性方程组容易导致求解失败 为了克服经典算法的缺点，设计了求解非线性方程组的混合遗传算法,但依然对方程组和编码方法有很高要求。PSO是受到鸟群或者鱼群社会行为的启发而形成的一种基于种群的随机优化技术。它是一类随机全局优化技术，通过粒子间的相互作用发现复杂搜索空间中的最优区域。该算法是一种基于群体智能的新型演化计算技术，具有简单易实现、设置参数少、全局优化能力强等优点。粒子群优化算法已在函数优化、神经网络设计、分类、模式识别、信号处理、机器人技术等许多领域取得了成功的应用。 本函数包带函数，测试函数与使用简介(Methods for solving nonlinear equations and the recent popular classical algorithm genetic algorithm. Newton s method and its improved form, but such convergence of the algorithm is largely dependent on the choice of the initial point, for some nonlinear equations solved easily lead to failure In order to overcome the shortcomings of classical algorithms designed for solving nonlinear Equations hybrid genetic algorithm, but still on the equations and the encoding method has high requirements. PSO is social behavior by birds or fish inspired the formation of a population-based stochastic optimization techniques. It is a class of stochastic global optimization technique, through complex interaction between particles found in the search space optimum area. The algorithm is a novel based on swarm intelligence evolutionary computation techniques, with a simple and easy to achieve, set few parameters, global optimization ability, etc.. Particle swarm optimization in function optimizatio)