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A neuro-fuzzy method to learn fuzzy classification rules from data.

光学仿真-光学仿真实验-光学仿真-光学仿真实验(Optical Simulation- Simulation optics- Optical simulation- Optical Simulation)

This will perform contrast streching on input image

基带信号生成公式，TD的，需要的朋友可以参考一下(Baseband signal is generated formulas, TD, and we need friends can make reference to it)

使用傅里叶梅林变换进行图像配准，抗旋转、平移和缩放~(Using Fourier Mellin Transform Image Registration)

lithumion acid battery used for simulation of inverter

kk飞控的程序，kk飞控是一款低端的很廉价的很好的飞控程序。适合初学者玩多轴飞行器。(kk flight control procedures, kk flight control is a very cheap low-end good fly control program. Suitable for beginners to play multi-axis aircraft.)

An important aspect of an ANN model is whether it needs guidance in learning or not. Based on the way they learn, all artificial neural networks can be divided into two learning categories - supervised and unsupervised. • In supervised learning, a desired output result for each input vector is required when the network is trained. An ANN of the supervised learning type, such as the multi-layer perceptron, uses the target result to guide the formation of the neural parameters. It is thus possible to make the neural network learn the behavior of the process under study. • In unsupervised learning, the training of the network is entirely data-driven and no target results for the input data vectors are provided. An ANN of the unsupervised learning type, such as the self-organizing map, can be used for clustering the input data and find features inherent to the problem.

单输入单输出模型预测控制，不同的参考信号都表现了良好的追踪能力(Single-input single-output model predictive control, different reference signals have demonstrated a good ability to track)

幅度相位调制解调代码，通用性很强，而且很简单，值得一看，和大家分享了！(Amplitude-phase modulation and demodulation code, very versatile and very simple to see, and everyone shared!)