rbm

直方图均衡：原始图的直方图变换为均匀分布的形式，这样就增加了象素灰度值的动态范围从而达到增强对比度的效果 中值滤波：中值滤波属于非线性平滑滤波器，它可以消除噪声又能保护图象的细节(histogram equalization : the original plan to transform the histogram in the form of uniform distribution. This will increase the value of the pixel gray areas so as to achieve dynamic contrast enhanced effect of filtering : Median filter is nonlinear smoothing filter, it can eliminate noise while preserving image details)

利用径向基函数神经网络，完成ECG信号的非线性拟合，进而提取出胎儿心电信号(Radial basis function neural network to complete the non-linear fitting of the ECG signal, and then extract the fetal ECG)

余割函数方向图的天线设计，其中给出了设计原理和实物图。(Cosecant pattern of the antenna design, which gives the design principle and the physical map.)

MATLAB工具箱的简介,人工智能的工具箱,希望对大家有用(About MATLAB toolbox, artificial intelligence of the toolbox, in the hope that useful)

四轴飞行器制作总结，包括四轴制作过程中马达、电调的选择，以及相关代码。(Four aircraft production summary, including the motor axis in the production process, the choice of power transfer, and the relevant code.)

基于matlab语音分帧程序，对于语音分帧入门有很大的帮助(Matlab program based voice sub-frame, sub-frame for voice entry is very helpful)

This code can be used to detect copy move image forgery based on SIFT algorithm

说明：  最速下降法是迭代法的一种,可以用于求解最小二乘问题(线性和非线性都可以)。在求解机器学习算法的模型参数，即无约束优化问题时，梯度下降（Gradient Descent）是最常采用的方法之一，另一种常用的方法是最小二乘法。在求解损失函数的最小值时，可以通过梯度下降法来一步步的迭代求解，得到最小化的损失函数和模型参数值。反过来，如果我们需要求解损失函数的最大值，这时就需要用梯度上升法来迭代了。在机器学习中，基于基本的梯度下降法发展了两种梯度下降方法，分别为随机梯度下降法和批量梯度下降法。(The steepest descent method is a kind of iterative method, which can be used to solve the least squares problem (both linear and nonlinear). In solving the model parameters of machine learning algorithm, that is, unconstrained optimization, gradient descent is one of the most commonly used methods, and the other is the least square method. When solving the minimum value of loss function, the gradient descent method can be used step by step to get the minimum value of loss function and model parameters. Conversely, if we need to solve the maximum value of the loss function, then we need to use the gradient rise method to iterate. In machine learning, two kinds of ladders are developed based on the basic gradient descent method)

matlab7.0应用编程，中文资料，每章一个文件(Application Programming matlab7.0, English information, each devoted to a file)

matlab for mathmatics chazhi function