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Introduction Evolutionary Algorithms: Overview, Methods and Operators.

Programming, geographic information systems, with c # to do programming, which is a pdf manual(Programming, geographic information systems, with c# to do programming, which is a pdf manual)

this code is about mlp 1 layer neural network with back propagation training algorithm by using geradient descence for nonlinear system. input data are random.

this code is in matlab 2009 and can is for bin packing problem with first fit next fit and best fit

Program GUI Matlab sederhana dengan keunggulan sistem grayscale

This paper presents a novel algorithm of hiding secret messages by applying mathematical lemmas and information theory. The proposed algorithm can hide more information with acceptable embedded rate and achieves requirements of information hiding algorithm and simply information extracting. The main idea is applying modern algebra to solve the information hiding problem in multimedia. In order to prevent some attacks on stganography, hidden initial bits of image data pixels are chosen randomly. The extracted information are achieved without the reference of the original image and extracted keys. The experiment results show that our approach is effective and reliable.

说明：  变分模态分解算法是2014年新提出的，广泛应用于信号处理领域。 VMD分解的子程序，给定分解的时域信号，数据保真约束平衡参数、噪声波峰时间步长、VMD分解个数、迭代精度可以得到 分解的子分量、子分量的波谱、各模式的中心频率。(The variational mode decomposition (VMD) algorithm was proposed in 2014, which is widely used in the field of signal processing. Given the time domain signal decomposed by VMD, the data fidelity constraint balance parameter, the time step of noise peak, the number of VMD decomposition and the iteration accuracy, the decomposed sub components, the spectrum of sub components and the center frequency of each mode can be obtained.)

说明：  课程中的图像处理实验matlab编程，有助于学习图像处理的初学者(program of matlab image processing , helpful for beginners of image processing)

基于神经网络的用电量预测，采用Matlab实现(Power consumption based on neural network prediction, the use of Matlab to achieve)

宽度学习是最近比较热的分类器，可用于图像分类等应用(image classification Broad learning)