ab_fastICA

lolimot algorythm code in matlab

自然边界元数学理论，于德浩教授编著。对于椭圆编制问题规划给出了较为详细数学理论解释，对于工程和理学专业的程序的编写有较好的辅助作用。(Natural Boundary Element mathematical theory, Professor Yu Dehao ed. For the preparation of the problem oval plan gives a more detailed explanation of the mathematical theory, for the preparation of professional engineering and Science program has a good supporting role.)

filtering in frequecy domain for image enhancement

利用MATLAB提取相关系数，按照matlab的滤波思路进行编写的IIR滤波程序，已经证明好用！(MATLAB is utilized to extract the correlation coefficient, according to the writing of IIR filter MATLAB filtering ideas for program, it has been proved useful!)

包括主成分分析、因子分析、贝叶斯分析，数据模型归一化，模态振动，对信号进行频谱分析及滤波，调试通过可以使用，matlab程序运行时导入数据文件作为输入参数，IMC-PID是利用内模控制原理来对PID参数进行计算。(Including principal component analysis, factor analysis, Bayesian analysis, Normalized data model, modal vibration, The signal spectral analysis and filtering, Debugging can be used, Import data files as input parameters matlab program is running, The IMC- PID is using the internal model control principle for PID parameters is calculated.)

遗传算法优化BP神经网络，优化神经网络的初始权值和阈值(Genetic algorithm optimizes the BP neural network and optimizes the initial weights and thresholds of the neural network.)

动力学分析软件，可以对系统稳定性、分岔等现象进行模拟(Dynamics analysis packages， providing solution to differential delay equations, modeling the stability, bifurcation)

可以用来求信号的上下包络线，在端点的处理上还有待优化(Demand signal envelope)

先进控制技术 模型预测控制技术 动态矩阵控制算法 matlab仿真(Advanced control technology model predictive control technology dynamic matrix control algorithm matlab simulation)

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years (Evolutionary Algorithm- EA). Kind, and simulated annealing algorithm PSO algorithm is similar evolutionary algorithms, it is also starting a random solution, through an iterative search for the optimal solution, which is also used to uate the quality through fitness solution, but it is simpler than genetic algorithm rules It has no genetic algorithm " crossover" (Crossover) and " variant" (Mutation) operation, which by following the current search to find the optimal value to the global optimum. This algorithm is its easy implementation, high accuracy, fast convergence, etc. attracted academic attention and show its superiority in solving practical problems. PSO algorithm is a parallel algorithm.)