MATLAB-net

图像的thin代码，用MATLAB实现，简单易用.(Images of thin code, use MATLAB to achieve, easy to use.)

matlab智能算法遗传算法优化人工神经网络权值和阈值(Matlab intelligent algorithm of genetic algorithm to optimize neural network weights and threshold)

particle swarm optimization toolbox for matlab.粒子群优化的工具箱(particle swarm optimization toolbox for m atlab. Particle Swarm Optimization Toolbox)

说明：  续SIMULINK，很实用的一本书，搭建模型介绍详细，多多学习(Continued SIMULINK, very practical book, build model introduced in detail, a lot of learning)

使用matlab的simpower进行电力电子电路仿真，这个是英文文档(Use matlab' s simpower to power electronic circuit simulation, this is the English document)

通过matlab语言编程，实现利用Gauss消去法求解线性方程组(Through matlab language programming, using the Gauss elimination method for solving linear equations)

小电流接地故障选线文献，包含零序电流作为特征分量，神经网络故障诊断方法等(Small current grounding fault line selection literature, contain zero-sequence current as a characteristic component of the neural network fault diagnosis method)

将一元时间序列与卡尔曼滤波算法结合，实现风速短期预测(combine the ARMA and KALMAN to achieve short-term wind speed prediction)

Mesh generation is one of the most critical aspects of engineering simulation. Too many cells may result in long solver runs, and too few may lead to inaccurate results. ANSYS Meshing technology provides a means to balance these requirements and obtain the right mesh for each simulation in the most automated way possible. ANSYS Meshing technology has been built on the strengths of stand-alone, class-leading meshing tools. The strongest aspects of these separate tools have been brought together in a single environment to produce some of the most powerful meshing available.

K-means++算法实现，加强了初始聚类点的选取（careful seeding）(K-means++ algorithm to enhance the selection of the initial clustering points (careful seeding))