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mdl
基于simulink仿真的太阳能最大功率跟踪（MPPT）算法(The MPPT used in simulink)
- 2010-10-23 10:28:15下载
- 积分：1
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LTE_downlink_yanggang
LTE下行链路的仿真代码 基本模块都有 对系统仿真很有帮助(LTE downlink simulation code module has a helpful system simulation)
- 2012-10-17 14:56:47下载
- 积分：1
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adsp_lab2_LMS
MATLAB simulinkLMS算法仿真(Matlab simulink LMS algorithm)
- 2011-09-22 09:56:32下载
- 积分：1
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face-detect
利用labview与matlab结合实现人脸定位算法 置入mathscript(Labview matlab combined with the use of a face localization algorithm implementation into mathscript)
- 2013-11-04 16:14:55下载
- 积分：1
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addtargets
在实测的数据的特定波速，特定批次中加入高，中，低速三种目标(Measured data in a specific velocity, the specific batch addition of high, medium and low three goals)
- 2011-12-08 15:52:56下载
- 积分：1
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chashi-bif-2
这是另一个研究叉式分岔的程序，图形不一样，可供大家做分岔图时参考。(This is another study fork bifurcation procedure, graphics are not the same, for everyone to do bifurcation diagram reference.)
- 2007-09-15 11:51:33下载
- 积分：1
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pso-6Pgenerator
particle swarm optimization for solving economic dispatch problem
- 2012-12-30 16:18:15下载
- 积分：1
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MATLAB-sample
此文件包含大量matlab例程，尤其适合初学者，当学习资料在适合不过(This file contains a lot of matlab routines, especially for beginners, but when learning materials in a suitable)
- 2013-08-11 13:57:34下载
- 积分：1
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Diff_Central_Oh4
Differential of Functions like Sin , Cos , Tan , Cot and other Functions with Central Oh4 method and calculation of errors Differential with matlab program. Saman Darvish
- 2013-02-01 02:34:55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
