power_thermal

for image processing

微分方程（这里指的是常微分方程）指含有一次、二次、乃至高次微分未知数的方程。是解决偏微分方程、数理方程的基础。有许多特殊函数，都是为了无法得出多项函数或超越函数型式的解析解的微分方程而定义出来。这些特殊函数之所以重要，是因为它们描述了自然界中的某些现象，例如，电子的活动、鼓皮的振动、钟摆的摆动等等。(Differential equations (in this case is the ordinary differential equation) means containing one, two, and even high-differential equations unknowns. Is to solve the partial differential equations, mathematical equations based. There are many special functions, are not drawn to a number of functions or functions beyond the type of analytical solution of differential equations which define them. These special functions are important because they describe the nature of certain phenomena, for example, electronic activities, drum skin vibrations, pendulum swing, and so on)

将低动态范围图像通过色调映射技术转换为高动态范围图像，对图像的亮度通道进行加强，该算法是reinhard代码进行实现的。(The low dynamic range image is transformed into high dynamic range image by hue mapping technology, and the brightness channel of the image is enhanced. The algorithm is implemented by Reinhard code.)

《Electromagnetic Waves and Antennas》经典书籍全部源码及电子书，希望能对大家有用！(《Electromagnetic Waves and Antennas》——All the source code and ebook, I wish that this can be useful to everybody!)

小脑模型是一种表达复杂非线性函数的表格查询自适应神经网络，此列例举了用于非线性函数逼近(CMAC is a complex nonlinear function of the expression of the form query adaptive neural network, this column cites for nonlinear function approximation)

说明：  介绍了时域有限差分(FDTD) 法的基本原理, 推导了二维TM 模Yee 算法的FDFD 表达式, 并结合算例阐述了基于MA TLAB 编程的基本方法。(The basic p rincip le of FDTD w as introduced and the 22D TM mode FDTD arithmetic expression was derived. The p rogramm ing method based onMA TLAB w as illustrated w ith examp le.)

本文将SOM（自组织特征映射）和PNN（概率）神经网络应用到柴油机故障诊断中，首先介绍了SOM和PNN神经网络的算法，然后对柴油机的故障进行了分析，并运用matlab进行了仿真，验证了实验结果。(This article will SOM (self-organizing feature map) and PNN (probability) neural network is applied to fault diagnosis of diesel engine, first introduced the SOM and PNN neural network algorithm, and then analyses the fault of diesel engine, and has carried on the simulation using matlab, verify the experimental results.)

Genetic algorithm for feature selection using GLM

Neural network for regression issues

It generates the hamming code table