multiview

遗传算法优化神经网络的权值和阈值 matlab程序代码(Genetic algorithm optimization neural network weights and thresholds)

一个简单的PID simulink控制倒立摆的模型建立(A simple PID simulink control of inverted pendulum model building)

这是一个用liblinear进行分类的例子，需要有liblinear环境(Using liblinear to do classification task)

The groupsac algorithm for estimating the findamental matrix

说明：  对用Matlab软件仿真的非平稳信号，进行经验模态分解，进而分析非平稳信号特征。(Simulation using Matlab software on a non-stationary signals, empirical mode decomposition, and then analyzes characteristics of non-stationary signal.)

用matlab解线性规划,整数规划，非线性规划，混合规划以及其它的规划推荐使用YALMIP，它是matlab的工具箱.(Using matlab for solving linear programming, integer programming, nonlinear programming, mixed planning and other planning recommended YALMIP, it is the matlab toolbox. )

生成不同幅值、频率的正弦波、三角波，加入噪声，进行频域分析。(Generate different amplitude, frequency sine wave, triangle wave, adding noise, time domain analysis.)

利用matlab编写，应用haar小波逼近曲线(Written by matlab application haar wavelet approximation curve)

说明：  遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法，它最初由美国Michigan大学J.Holland教授于1975年首先提出来的，并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》，GA这个名称才逐渐为人所知，J.Holland教授所提出的GA通常为简单遗传算法（SGA）。(a genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.)

MATLAB实现循环码的编码与解码，Cyclic code encoding and decoding based on MATLAB(Cyclic code encoding and decoding based on MATLAB)