sift

montecarlo算法，练习使用练习使用练习使用练习使用(montecarlo method montecarlo method)

一款简单的ABAQUS施加周期性边界条件的插件(A Simple ABAQUS Plug-in with Periodic Boundary Conditions)

这两篇文章为传感器优化配置方面的资料，个人觉得比较有用，希望可以帮到需要的人(These two articles provide information on the optimal configuration of the sensor)

说明：  对哔哩哔哩弹幕进行抽取并完成情感倾向的分析和估计(To extract bilibili barrage and complete the analysis and estimation of emotional tendency)

基音检测算法

说明：  基于SVM（支持向量机）的车牌识别程序源码，包含训练集与测试集，可识别省市直辖市汉字简称、数字及英文字母。(The source code of license plate recognition program based on SVM (support vector machine), including training set and test set, can recognize the abbreviation of Chinese characters, numbers and English letters of provinces and municipalities directly under the central government.)

说明：  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).)

说明：  基于马尔科夫链的非侵入式负荷分解，可实现仅依据智能电表数据对电器用电曲线的提取。(The non-intrusive load decomposition based on Markov chain can realize the extraction of electrical power consumption curves based on smart meter data only.)

支持向量机初学者可以看看,用于可以用于C-SVM分类、?-SVM分类、?-SVM回归和?-SVM回归等问题 (Support Vector Machine beginners can see that can be used for C-SVM classification,?-SVM classification,?-SVM regression and?-SVM regression problem)

说明：  洛谷OJ P1000,1421,1422,1425 Python 3 代码(Luogu OJ P1000,1421,1422,1425 in Python 3)