201405008

一个用Matlab写的BP神经网络的应用实例，设备检查用。(Written in Matlab using a BP neural network application examples, device-examine.)

Wiener filter in C programming

platEMO是Ye Tian等学者写的一款基于MATLAB的多目标优化工具，为新入门的同学或者开发者提供了很大的便利，其今年已经发布到PlatEMO 2.0版本了。这款工具主要具有以下的几个特点： 1.完全由MATLAB开发，不需要任何其它库。 2.包括现有的90个流行的MOEAs，包括遗传算法、差分进化、粒子群优化、模因算法、分布估计算法和基于代理模型的算法。其中大多数是2010年以后在顶级期刊上发表的代表性算法。 3.用户可以显示各种图形，包括结果的pareto front，真实的pareto front等等。 4.强大友好的GUI，可以不用编辑任何代码。 5.可以直接生成Excel或者LaTex。(PlaEMO is a multi-objective optimization tool based on MATLAB written by Ye Tian and other scholars. It is a great convenience for beginners or developers. It has been released to PlatEMO version 2.0 this year. This tool has the following characteristics: 1. Developed entirely by MATLAB without any other libraries. 2. Including 90 popular MOEAs, including genetic algorithm, differential evolution, particle swarm optimization, meme algorithm, distribution estimation algorithm and proxy model-based algorithm. Most of them are representative algorithms published in top journals after 2010. 3. Users can display various graphics, including Pareto front, real Pareto front and so on. 4. Powerful and friendly GUI, you can edit no code. 5. Excel or LaTex can be generated directly.)

Cross-scale regularization

PLS的修改算法，可以用于线性静态过程的故障诊断(partial least squares for fault diagnosis of static process)

用MATLAB读取图片，并用神经网络进行训练，输出辨识数字。(Reads the image using MATLAB, and training, the digital output identification using neural networks.)

Multi-Layer optical filter. FDTD Simulation comparing with analytic methods.

多个访问性能epeated-permutation MPPM与干扰避免(Multiple Access Performance for Repeated-permutation MPPM with Interference Avoidance)

This material is about motor control algorithms implemented with matlab source codes.

利用灰色模型进行电力负荷预测，输出预测数值及其与实测值的误差曲线(power load forecasting by Grey model )