mtlab

最速下降法 优化算法问题以及其说明等等 (decent answerr method )

导向滤波,非线性滤波的一种，常用于图像预处理(A guide filtering, nonlinear filtering, commonly used in image pre-processing)

利用Elmane方法对动态系统进行建模。(Elmane method is used to analyse the dynamic system modeling.)

说明：  MATLAB 7编程 数字信号处理源代码(MATLAB)

说明：  多进制相位调制（BPSK/QPSK/8PSK）的MATLAB仿真程序(MATLAB simulation program for MPSK(BPSK/QPSK/8PSK))

直流无刷电机带霍尔传感器双闭环的MATLAB仿真，(MATLAB simulation of double closed-loop DC brushless motor)

说明：  神经网络实例集。包括以下几个程序单层线性神经网络实例、感知器神经元解决较复杂输入向量的分类问题、基于感知器神经网络处理复杂的分类问题、数值分析程序matlab-GUI、用BP网络完成函数的逼近源程序、自组织特征映射应用实例(Examples of neural network sets. Procedures include the following examples of single-layer linear neural network, perceptron neuron input vector to solve more complex classification problems, based on the perceptron neural network to deal with complex classification problems, numerical analysis matlab-GUI, using BP network function source approximation, self-organizing feature map application)

This package contains Matlab class to serialize/decode matlab object in json format. The software uses org.json java package to convert json to java object and then translates it into Matlab object.

　K-means算法是最为经典的基于划分的聚类方法，是十大经典数据挖掘算法之一。K-means算法的基本思想是：以空间中k个点为中心进行聚类，对最靠近他们的对象归类。通过迭代的方法，逐次更新各聚类中心的值，直至得到最好的聚类结果。(K-means algorithm is based on the division of the classic clustering method, is ten classic one of data mining algorithm. K-means the basic idea of the algorithm is: to the space K point as the center of the cluster analysis, near their object classification. Through the iterative method, each successive update clustering center value, until get the best clustering results. )

Exported symbols for the deflate functionality.