Limit-the-return-of-learning-machine

matlab中遗传算法的程序 可供初学者学习 由于有的版本的matlab中遗传算法程序的不好用可以用本程序覆盖一下(Genetic algorithm matlab program for beginners to learn due some bad versions of matlab genetic covered by this program can be used to look at the program' s algorithm)

matlab特殊的图形绘制，包含了各类的绘制代码，可以直接调用(matlab special graphics rendering, includes various types of drawing code, you can directly call the)

说明：  MATLAB SOA仿真代码 详细模拟了半导体光放大器的各个参数特性(MATLAB SOA simulation code for detailed simulation of a semiconductor optical amplifier characteristics of the various parameters)

基于卡尔曼滤波的动态目标跟踪算法，简单实用(Kalman filter-based dynamic object tracking algorithm, simple and practical)

二进制编码连续函数遗传算法二进制编码连续函数遗传算法二进制编码连续函数遗传算法(Binary coding genetic algorithm continuous functions)

基于MATLAB的FSK信号仿真及其频谱分析(MATLAB-based FSK signal simulation and spectrum analysis)

Some New Indexes of Cluster Validity

matlab的全局例外点检测程序，适合于做数据挖掘的朋友(matlab global exception detection procedure, suitable to do data mining Friend)

An Introduction to neural networks

说明：  盲源分离FastICA、matalab程序，(FAST KERNEL ICA | |--------------------| Version 1.0- February 2007 Copyright 2007 Stefanie Jegelka, Hao Shen, Arthur Gretton This package contains a Matlab implementation of the Fast Kernel ICA algorithm as described in [1]. Kernel ICA is based on minimizing a kernel measure of statistical independence, namely the Hilbert-Schmidt norm of the covariance operator in feature space (see [3]: this is called HSIC). Given an (n x m) matrix W of n samples from m mixed sources, the goal is to find a demixing matrix X such that the dependence between the estimated unmixed sources X *W is minimal. FastKICA uses an approximate Newton method to perfom this optimization. For more information on the algorithm, read [1], and for more information on HSIC, refer to [3]. The functions chol_gauss and amariD are taken from and based on, respectively, code from Francis Bach (available at http://cmm.ensmp.fr/~bach/kernel-ica/index.htm). The derivative is com)