完整的偏最小二乘法算法matlab程序

增量式PID温度控制系统 在matlab下编程(Incremental PID temperature control system in MATLAB programming )

14 bus model using matlab and psat for load flow

对图像分割，初始轮廓为椭圆。变化的过程中始终以椭圆为约束(For image segmentation, the initial contour is an ellipse.)

有关matlab中simulink的应用，程序的编写和函数的建立(matlab simulink)

5个PSO算法的汇总，有标准pso算法，hPSO,PSOt等改进算法，用到粒子群算法，可以在其中挑选。(Five PSO algorithm summary, standard PSO algorithm, hPSO, such as PSOt improved algorithm, use particle swarm algorithm, in which can be selected. )

电力变压器是电力系统中的主要设备之一，利用它可以把不同电压的电网联结在一起，组成复杂的电网或庞大的电力系统，并在其中发挥着重要的作用。电力变压器的可靠运行关系到整个电网的安全，如何对电力变压器的运行中的故障进行诊断，已成为电力部门急需解决的问题。目前，以油中溶解气体为特征量对变压器的故障进行分析，得到了广泛应用。 本次设计要求对电力变压器的内部故障进行广泛了解，并应用BP神经网络对变压器进行智能故障诊断软件设计，实现变压器内部故障论断。主要包括以下内容： 1、掌握用以变压器油中气体为特征量，用BP神经网络诊断变压器内部故障的方法 2、用 Visual Basic编制变压器故障诊断软件，具有以下功能： a) 数据管理功能。包括变压器信息，色谱数据信息等 b) 故障诊断功能。包括用BP神经网络诊断变压器故障的具体实现方法，并给出故障诊断结果 c) 图形显示功能。包括对同一变压器内气体浓度变化曲线的显示等 d) 辅助功能。如帮助信息，诊断方法的介绍等 (Power transformer is one of the main equipment in power system, it can use the network of different voltage linked together, to form a complex network or large electric power system, and plays an important role in it. Power transformer for the reliable operation of the power grid safety, how to run in power transformer fault diagnosis, has become urgent to solve the problem of electric power sector. At present, the DGA in transformer fault analysis, obtained the widespread application. The design of power transformer internal fault is widely understood, and the application of BP neural network to transformer fault diagnosis software design, realization of transformer internal fault diagnosis. Mainly include the following contents: 1, master for gas in transformer oil as features, using BP neural network diagnosis method of transformer internal fault In 2, Visual Basic system of transformer fault diagnosis software, has the following functions: A ) data management function. )

阴燃燃烧过程的模拟，有限体积法 ，附加源项处理边界条件(smoldering simulation， FVM)

压缩感知方法演示，1-D信号压缩传感的实现(正交匹配追踪法Orthogonal Matching Pursuit) 测量数M>=K*log(N/K),K是稀疏度,N信号长度,可以近乎完全重构(1-D signal is compressed sensing to achieve (orthogonal matching pursuit method Orthogonal Matching Pursuit) number of measurements M> = K* log (N/K), K is the sparsity, N signal length, can be almost completely reconstructed)

Linear Discriminant Analysis in matlab

imaginescript with matlab