RedTrack

说明：  利用遗传算法优化BP神经网络权值和阈值，然后进行训练，利用训练好的模型进行预估。附实例(The use of genetic algorithm to optimize BP neural network weights and thresholds, and then training, training a good use of forecast models. Attached examples)

matlab与HFSS接口例程,适用于matlab中建立模型，在HFSS中仿真模型的电磁特性(matlab and HFSS interface routines for matlab in modeling, simulation model in HFSS electromagnetic properties in)

光纤LP51模式,光纤模式计算，纤芯模式，有效折射率(Fiber LP51 mode, fiber mode calculation, fiber core mode, effective refractive index)

对摄像机进行标定。学习之用。学写代码的话比看OPENCV的代码要好，使用的话OPENCV或者MATLAB都足够了(Calibration of the camera. Learning. Write code, then look OPENCV than the code is better, the use of words or MATLAB are OPENCV enough)

傅氏分析与小波分析实验的MATLAB程序源码(Fourier analysis and wavelet analysis experiments MATLAB procedures Source)

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基于MATLAB的光伏电池仿真的通用光伏电池封装模型(MATLAB-based simulation of the photovoltaic cells of common photovoltaic cells package model)

Incremental Conductance: In the incremental conductance algorithm, we find the derivative of PV output power with respect to output voltage. The dP/dV is evaluated and the algorithm keeps checking this value and changes the duty cycle such that dP/dV=- I/V = 0. This is the point at which maximum power is transferred. If dP/dV is greater than zero, it means the PV is operating to the left of the MPP. If dP/dV is less than zero, it means the PV is operating to the right of the MPP. This method holds an advantage over the perturb and observe method since it is fast and does not oscillate around MPP. However, the method could experience instability due the involvement of the derivative.

matlab基础教程，帮助用户了解matlab各项功能(Matlab basic course, help users understand the matlab functions )

关于非线性离散系统辨识，解耦，恢复原信号，BP神经网络的整个训练过程。( Nonlinear discrete system identification, Decoupling, restore the original signal, The entire training process BP neural network.)