tsp

用MATlab实现的遗传算法，i比较简单，适用于刚学习粒子群算法的人，大家可以交流一下(MATlab genetic algorithm, relatively simple, suitable for people new to the study of the particle swarm optimization (pso) algorithm, we can discuss)

economic dispatch to solve problem 39 bus 10 generator IEEE system

利用S函数建立的永磁同步电动机直接转矩控制模型，共大家参考。(Using the S function to establish permanent magnet synchronous motor direct torque control model of reference.)

此程序主要是用Matlab进行点云数据的三维建模，对用Matlab进行三维重建有实用价值。 (The procedure is to use Matlab for modeling three-dimensional point cloud data on the three-dimensional reconstruction with Matlab has practical value.)

说明：  利用层次分析法来解决数学或经济学中的问题，里面有AHP程序以及相应的AHP建模的讲解说明(Use of AHP to solve the problems in mathematics or economics, there are procedures and the corresponding AHP AHP modeling to explain instructions)

deep learning一般是学习的层次结构，它也是有一定理论依据的，即模拟人脑的大脑皮层工作，因为大脑皮层的视觉区域也是分层次工作的，越底层的视觉皮层对那些底层特征就越敏感。综上所述，feature learning有这么多应用需求的驱动和生物神经理论上的支持，注定它能够在AI领域中发挥一定的作用。一些实验表明，有些feature learning学习到的特征几乎比所有其它的特征效果要好，比如本文中的ISA模型就是其中一个。(deep learning hierarchy of learning, it is also a certain theoretical basis that simulate the human brain' s cerebral cortex, visual areas of the cerebral cortex is hierarchical work, the more the bottom of the visual cortex is more sensitive to those underlying characteristics . In summary, feature learning so many application needs the support of the drive and biological neural theoretically doomed it to be able to play a certain role in the field of AI. Some experiments show that some feature learning learning to feature almost better than all the other features of the effect of the ISA model such as this is one.)

many codes for ECG signal that load, read annotator, detects peaks, and more functions

FLD_based Face Recognition System_v22帮助大家学习LDA算法，解决线性可分的问题(FLD_based Face Recognition System_v2)

将给定的状态方程转化成典范状态方程，离散传递函数，连续传递函数(transform)

Automatic toll collection system