29782170WOA_Toolbox

CFAR simulation matlab

数字图像处理,基于MATLAB 语言上万图像处理系统(DIGITAL IMAGE PROCESSORE AANDF)

基于K-L变换的指纹识别算法matlab实现 内含指纹库 对模式识别及matlab初学者有很大帮助(Based on k-l transform the fingerprint identification algorithm matlab containing fingerprint storehouse of pattern recognition and matlab beginners are of great help )

fcm算法的实现 MATLAB程序详细解释说明实现 自带图片例子 (fcm algorithm MATLAB program comes with detailed explanations to achieve picture examples)

禁忌搜索求解初始点和终点确定的取送货路径问题(If the initial points and the end is known, then use Tabu search to solve path problem )

Load Frequency Control using ANN NARMA-L2

说明：  NN neural network for face recognition supervised feed forward back propagation neural network

本代码为基于matlab的小波功能实现一书中9到19章节中的代码，包括术中各例题的代码。(The code for matlab-based wavelet function of a book of the 9-19 section of the code, including the code of the examples in the surgery.)

Q-learning (Watkins, 1989) is a simple way for agents to learn how to act optimally in controlled Markovian domains. It amounts to an incremental method for dynamic programming which imposes limited computational demands. It works by successively improving its evaluations of the quality of particular actions at particular states. This paper presents and proves in detail a convergence theorem for Q,-learning based on that outlined in Watkins (1989). We show that Q-learning converges to the optimum action-values with probability 1 so long as all actions are repeatedly sampled in all states and the action-values are represented discretely. We also sketch extensions to the cases of non-discounted, but absorbing, Markov environments, and where many Q values can be changed each iteration, rather than just one.

基于wilson 的matlab分析循环(wilson matlab)