CSMNN_DSP2_realization

说明：  动态聚类的k均值算法－－用k均值算法解决动态聚类问题(Dynamic clustering k-means algorithm- using k-means algorithm to solve the issue of dynamic clustering)

采用matlab语言实现的模糊控制例程，可以直接运行。(using Matlab language of fuzzy control routines can be run directly.)

optical character recognition is used to convert images of any paper into soft copies

matlab code for tight subplot

关于肌电信号，计算平均功率频率（MPF）的功能(about EMG, calculate the mean power frequency (MPF))

基于贝叶斯人脸识别技术的matlab人脸识别程序，在ORL库上实现，也可换用别的库进行运算，只需要更改样本数量(Bayesian face recognition technology based on face recognition matlab program, implemented on ORL database can also be used for other library operations, only need to change the number of samples)

包括：用基本粒子群算法求解无约束优化问题，用带压缩因子的粒子群算法求解无约束优化问题，用线性递减权重粒子群优化算法求解无约束优化问题，用自适应权重粒子群优化算法求解无约束优化问题，用随机权重粒子群优化算法求解无约束优化问题，用学习因子同步变化的粒子群优化算法求解无约束优化问题，用学习因子异步变化的粒子群优化算法求解无约束优化问题，用二阶粒子群优化算法求解无约束优化问题，用二阶振荡粒子群优化算法求解无约束优化问题(Include: using the particle swarm algorithm for unconstrained optimization problems, with compression factor of particle swarm algorithm for solving unconstrained optimization problem with linear decreasing weight particle swarm optimization for unconstrained optimization problems, an adaptive weight particle swarm optimization unconstrained optimization problems, random weight particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor synchronous change of particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor asynchronous changes in particle swarm optimization algorithm for solving unconstrained optimization problem , with the second particle swarm optimization for unconstrained optimization problems, with the second-order oscillating particle swarm optimization algorithm for unconstrained optimization problem)

利用matlab编写的kalman的实际应用例子程序，对学习kalman自适应滤波可以学习一下(using Matlab prepared by the Arch example of the practical application procedures Adaptive learning Kalman filter can learn from this)

this package include image denoising using visu shrink wavelet threshold.

由1790-1980年间美国每隔十年的人口记录表为基础进行分析。(Exponential growth model of population )