Artificial-Neural-Networks-The-Tutorial-With-MATL

量子遗传算法重要函数解析，我看了很有用 ，希望能对大家有所帮助(Quantum Genetic Algorithm important function analysis, I have read the very useful, I hope everyone can help)

this programs transforms a matrix to a vector which is used after applying a hamming window with 50 overlap and totally useful for speech enhancement

This is an implementation of the algorithm described in our paper [1]. The input is any map generated by saliency detection algorithms like Itti-Koch [2] or GBVS [3]. The algorithm outputs a binary mask without requiring a threshold for the saliency map. More details about it are described in our paper.

非线性整数规划算法，求解非线性整数规划活混合规划问题，常用的算法是分枝定界算法。基于该算法编成的现成函数bnb20()(Nonlinear integer programming algorithm for solving nonlinear mixed integer programming live planning problem, commonly used algorithms are branch-and-bound algorithm. Based on the algorithm into off-the-shelf function bnb20 ())

小波消噪本代码基于不同阈值判定原则进行消噪(wavelet denoise)

这是一个经典的形变模型实施,在一个单一的文件用简单的可以理解的代码。 功能包括两部分一个简单的弱分类器和一个促进部分: 弱分类器试图找到最佳阈值的数据维数对数据进行分离成两个阶级1和1 要求的进一步提高分类器部分迭代,每一步是变化分类权重miss-classified例子。这造成了一连串的“弱分类器”,表现得像一个“强大分类器” (This a classic AdaBoost implementation, in one single file with easy understandable code. The function consist of two parts a simple weak classifier and a boosting part: The weak classifier tries to find the best threshold in one of the data dimensions to separate the data into two classes-1 and 1 The boosting part calls the classifier iteratively, after every classification step it changes the weights of miss-classified examples. This creates a cascade of "weak classifiers" which behaves like a "strong classifier" . )

用最优化方法求解优化问题的极大值或极小值问题的方法(Maximum or minimum value of the issue of method optimization method for solving optimization problems)

这是一个matlab编写的关于图形图像处理的库文件,里面含有很多实现的图形图像处理的算法,可以使操作者方便使用(This is a matlab graphical images prepared by the treatment of the library file, which contains many realize the graphic image processing algorithms, allows the operator easy-to-use)

RLS,Demonstration of Wiener filter,LMS filter,Steep-descent algorithm (RLS, Demonstration of Wiener filter, LMS filter, Steep-descent algorithm)

Practical programming techniques in Matlab