mos4

基于量子遗传算法的倒立摆模糊控制器参数优化仿真程序(Quantum genetic algorithm based fuzzy controller for inverted pendulum simulation program optimization)

Travelling salesman problem description to code in matlab is provided in this document

LBG code for VQ watermarking

conventional decoder for LTE-A

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

最小二乘回归分析算法，进行逐步线性回归，实现了图像的加水印，去噪，加噪声等功能。( Least-squares regression analysis algorithm, Stepwise linear regression, Realize image watermarking, de-noising, plus noise and other functions.)

PSCAD仿真实验内容实验4 避雷器 脉冲测试电路(PSCAD stimulation lightning arrester)

Multipath Rayleigh Channel with different doppler frequencies

高斯光束在F-P干涉仪中的传输模拟(Simulates Gaussian beam propagation through a Fabry-Perot interferometer with adjustable error angles.)

说明：  Leslie模型实例：基于Leslie矩阵的算法，同时将人口按10年一组分成m个年龄段，并根据一些影响人口数量和结构的重要因素（建立模型。再根据我国近十年的二孩出生率的实际情况并结合少数民族不受影响的因素，通过Matlab画出拟合曲线对2017-2030年我国每年人口总数做出预测。此后，根据近十年0-14岁、15-64 岁、65岁及以上三个年龄段的人数，计算出人口抚养比，用Matlab预测至2030年的人口结构。为了使预测更加精确，我们还将夫妇的生育意愿考虑到模型当中。(Based on the Leslie matrix algorithm, the population is divided into m age groups according to a group of 10 years, and according to some important factors that affect population size and structure Modeling. Then according to the actual situation of the birth rate of second-born children in China in the past ten years and combining the factors that are not affected by ethnic minorities, drawing a fitting curve through Matlab will make a prediction for the total population of China in 2017-2030. After that, based on the number of people aged 0-14, 15-64, and 65 years of age in the last ten years, calculate the dependency ratio of the population and use Matlab to predict the population structure by 2030. In order to make the prediction more accurate, we also consider the couple's fertility intention in the model.)