NormalizedLeastMeanSquares

一个RBF神经网络的算法实现程序,可用于实现RBF神经网络的函数逼近(A RBF neural network algorithm procedures, can be used to realize the function of the RBF neural network approximation)

双椭球附加质量干扰计算（根据切片法理论计算所得）(Additional quality double ellipsoid interference calculations (calculated in accordance with section method theory))

迭代自组织数据分析，是本科毕设的题目，使用高阶累积量对MPSK信号进行调制识别。( Iterative self-organizing data analysis, The title of the commercial is undergraduate course you Using high-order cumulants of MPSK signal modulation recognition.)

说明：  径向基函数神经网络的优点：逼近能力，分类能力和学习速度等方面都优于BP神经网络，结构简单、训练简洁、学习收敛速度快、能够逼近任意非线性函数，克服局部极小值问题。原因在于其参数初始化具有一定的方法，并非随机初始化。代码为RBF的matlab程序，可以使用但是需要自己配置数据。(Radial Basis Function Neural Network (RBF-NN) has the advantages of better approximation ability, classification ability and learning speed than BP Neural Network (BP Neural Network). It has simple structure, simple training, fast learning convergence, and can approximate any non-linear function to overcome the local minimum problem. The reason is that its parameter initialization has a certain method, not random initialization.)

Matlab的小波去噪程序，小波广泛应用于图像处理、去噪等方面(Matlab' s wavelet denoising procedure, wavelet is widely used in image processing, denoising, etc.)

本程序是小脑神经网络 作为一个函数的逼近器。作为学习小脑神经网络学习用的。(CMAC neural network)

Matlab和VC混合编程，VC6.0工程设置，图文介绍很详细，在Matlab和VC混合编程中，这一步设置非常重要(Matlab and VC hybrid programming, VC6.0 engineering settings, graphic description is very detailed and hybrid programming in Matlab and VC, this step is quite important)

The function to obtain indexes of inner of window points in the windoving procedure for each point in 2D surface. It allows to avoid cyclic operation which too slowly.

分布傅里叶方法求解光纤中的光传输振幅，求解非线性薛定谔方程(supercontinuum generation with matlab)

GPR matlab The function should work with MATLAB v 5 and above. Please do not hesitate to contact me with any ideas for improving it or to point out any bugs that you find. (GPR Matlab The function should work with MA un v 5 and above. Please do not hesitate to cont act me with any ideas for improving it or to point out any bugs that you find.)