说明： 可以得到两层异构蜂窝网络的覆盖率，以及单层异构蜂窝网络的覆盖率，并将实验结果与理论结果进行对比(The coverage of two-layer heterogeneous cellular network and single-layer heterogeneous cellular network can be obtained. The experimental results are compared with the theoretical results.)
基于蒙特卡洛算法的电力系统充裕性评估，评估IEEE-RTS79系统的充裕性指标。(Power system adequacy assessment based on Monte Carlo algorithm)
说明： 贝叶斯（Bayesion）机器学习相互信息。用于求取熵、联合熵等。改进后可用于随机反演(Bayesian (Bayesion) machine learning of mutual information. Used to obtain entropy, joint entropy and so on. Improved can be used for stochastic inversion)
介绍RBF神经网络，利用数据来进行预测，含有详细的matlab代码(Introduce RBF neural network and use data to forecast)
说明： 介绍RBF神经网络，利用数据来进行预测，含有详细的matlab代码(Introduce RBF neural network and use data to forecast)
用MATLAB边缘检测检测出直线，并用Hough函数连接起来。(Use MATLAB to detect straight lines and connect)
对于网络流量的分类程序，作者分析了10种常用的网络流量，并通过端口，以及流统计特征进行分类，效果不错。(Procedures for the classification of network traffic, the authors analyzed 10 kinds of commonly used network traffic, and through the port, and the statistical characteristics of stream classification, the effect is good.)
CLIQUE聚类算法 CLIQUE是高维数据空间中基于网格和密度的聚类方法。(k-clique algorithm as defined in the paper "Uncovering the overlapping community structure of complex networks in nature and society"- G. Palla, I. Derényi, I. Farkas, and T. Vicsek- Nature 435, 814–818 (2005) [X,Y,Z] = k_clique(k,A) Inputs: k- clique size A- adjacency matrix Outputs: X- detected communities Y- all cliques (i.e. complete subgraphs that are not parts of larger complete subgraphs) Z- k-clique matrix)
分布式网络，考虑拜占庭攻击，通过门限设计改善网络性能，提高分布式定位精确度(Distributed network, consider the Byzantine attack, by improving the design of network performance threshold, distributed improve positioning accuracy)
用于计算复杂网络的各种特性参数，例如最短路径，全局效率，介数，中心度，模块化属性等(Used to calculate the various properties of the complex network parameters, such as the shortest path, global efficiency, betweenness centrality, modular attributes)
神经网络的K折交叉验证用于模型选择和测试数据验证(crossvalidate of ANN)
微电网中下垂控制的Mtalab仿真，用于研究在微电网中下垂控制算法的性能(Micro power grid in the droop control Mtalab simulation, used to study the droop control performance of the algorithm in the micro grid )
svm源代码，其中包括svm源代码及使用svm的练习部分(SVM source code, including source code and the use of SVM SVM practice part)
利用遗传算法GA和粒子群算法PSO对SVM进行优化(GA genetic algorithm and particle swarm optimization PSO to optimize the SVM)
利用遗传算法GA和粒子群算法PSO对SVM进行优化(GA genetic algorithm and particle swarm optimization PSO to optimize the SVM)
几篇有关小型四旋翼飞行器滑模控制的文章和复现(Several articles and reappearance of sliding mode control for small four rotor aircraft are presented.)
基于BP神经网络的人脸识别算法，有详细的关于BP网络的设计步骤以及人脸识别过程(Face recognition algorithm based on BP neural network, a detailed design steps of BP network and facial recognition process)
matlab仿真dpd，预失真的算法，在读博士仿真源码，包括volterra，saleh，多项式。(matlab simulation dpd, pre-distortion algorithm, Ph.D. simulation source code, including the volterra, saleh, polynomials.)
基因选择算法 SVMRFE 基因选择算法 SVMRFE 基因选择算法 SVMRFE(Gene selection algorithm SVMRFE gene selection algorithm SVMRFE gene selection algorithm SVMRFE)
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