libsvm-matlab

Wavelet Scale Spectra

基于matlab的基本的粒子群程序，可以直接运行，有助于初学者学习(Based on of matlab the basic particle swarm program can be run directly to help beginners learn)

实例编程matlab 常用的100个源程序(Examples of commonly used programming matlab source code 100)

ARMA 模型最大似然估计MATLAB例程(ARMA model maximum likelihood estimation)

说明：  将Argonaut数据写成nc格式的matlab函数(A function to write Argonaut water flow data to a NetCDF file)

计算兰姆波从基波到高次谐波的非线性功率流(Calculate nonlinear power flux the primary Lamb waves to the secondary wave field)

运用matlab编写的密码登录窗口 亲测有效(Password login window written by Matlab is valid)

说明：  用matlab预测双色球的方法， 每行附详细备注介绍其目的。欢迎大家建议(Use matlab to calculate the lottery 7 digit)

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.

说明：  Switched Reluctance Motor