一个好的双隐层反向传播神经网络算法matlab例程

svpwm算法的matlab仿真，包含park变换，包含扇区计算，t0 t1 t2时间计算，tcma，tcmb，tcmc等的计算。(SVPWM algorithm matlab simulation, including the park transform, including the sector calculation, t0 T1 T2 time calculation, TCMA, tcmb, TCMC, etc..)

优化问题 线性、非线性 等 MATLAB程序 想看看的，可以看看优化问题的，看看(Optimization of linear, nonlinear, MATLAB program)

采用MATLAB语言编译的数值微分函数，希望对大家有用(numerical differentiation)

说明：  立体匹配SGM算法matlab实现，包括图像预处理，census特征计算、4条扫描线代价聚合、亚像素求精等后处理步骤(Matlab implementation of stereo matching SGM algorithm, including image preprocessing, census feature calculation, four scanning line cost aggregation, sub-pixel refinement and other post-processing steps)

基于有限元理论，通过matlab编程求解悬臂梁受力问题(Based on finite element theory, matlab programming by solving problems cantilever force)

说明：  本程序为PQ解耦法计算电力系统的常规潮流。该程序简单，易懂，注释详细。(This procedure PQ decoupled method for power system of conventional trend. The procedure is simple, easy-to-understand, detailed notes.)

matlab 遗传算法GA，粒子群算法PSO,蚁群算法AS 前段时间上智能计算方法实验课上，自己做的程序。帖到这里，希望有人能改进它们，交流经验这样更有价值。 遗传算法解决最小生成树问题，PURFER编码。 粒子群算法做无约束最优化问题。 蚁群算法解决TSP问题。 如果有宝贵经验希望能交流一下，谢谢，呵呵(matlab genetic algorithm GA, particle swarm optimization PSO, ant colony algorithm for calculation of AS some time ago on the intelligent test classes, make their own procedures. Quote here, hope someone can improve them, and exchange of experience which is more valuable. Genetic algorithm to solve the minimum spanning tree problem, PURFER coding. Particle swarm optimization to do unconstrained optimization problem. Ant colony algorithm to solve the TSP problem. If there is hope to exchange our experience, thank you, He He)

Regularization Tools: A MATLAB package for Analysis and Solution of Discrete Ill-Posed Problems. Version 4.1. By means of the routines in this package, the user can experiment with different regularization strategies. The package also includes 12 test problems.

说明：  使用matlab进行图象处理的经典命令.(picture command)

采用有监督学习的hebb规则实现权值学习的学习，给出实际例子，单神经元自适应控制器.(Weight is realized by using supervised learning hebb rule of learning, gives a practical example, the single neuron adaptive controller.)