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replot
matlab matlab matlab matlab matlab函数(matlab matlab matlab matlab matlab function)
- 2012-04-29 19:19:19下载
- 积分：1
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TCM+8PSK
TCM 8psk 的仿真误码率图 包括解码译码等(Simulation error rate chart of TCM)
- 2018-10-19 21:27:39下载
- 积分：1
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function-approximating
函数逼近教学例子,可以选择不同训练算法。(Function approximation teaching example, you can choose different training algorithms.)
- 2013-12-12 01:17:48下载
- 积分：1
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tuxiatiqung
matlab的楚翔处理，色彩增强，二值滤波，旋转放大等功能，图像识别(the matlab Chu Xiang processing, color enhancement, binary filtering, rotation, zoom, image recognition)
- 2013-05-16 21:59:23下载
- 积分：1
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Possion
用有限元法求解三角形形区域上的Possion方程(using the finite element method triangle-shaped region of Possion equation)
- 2007-07-08 21:43:19下载
- 积分：1
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dualcodes
对偶复树小波以及去噪，
包含1维二维三维的程序实现(Dual tree complex wavelet and the noise, including the one-dimensional two-dimensional three-dimensional program)
- 2007-08-23 15:36:03下载
- 积分：1
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GAFMAX
遗传算法
求下列函数的最大值
obj(x)=x.*(10-x).*sin(2*pi*x), xin[0,10].(Optimization problem by genetic algorithm of a function
obj(x)=x.*(10-x).*sin(2*pi*x), xin[0,10].)
- 2009-11-14 00:05:47下载
- 积分：1
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MatLabbiancheng
说明： 用于MATLAB编程及开发，解决实际问题，(For MATLAB programming and development, to solve practical problems,)
- 2010-04-24 09:46:52下载
- 积分：1
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StewartControllers
介绍了并联机器人的仿真功能，尤其的机器人的定位与导航功能(Describes the simulation parallel robot, especially robot positioning and navigation functions)
- 2014-09-06 21:35:28下载
- 积分：1
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WindyGridWorldQLearning
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.
- 2013-04-19 14:23:35下载
- 积分：1
