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GraRegulEjeLibr2
Plot the voltage eficience based on real power
- 2011-11-26 23:23:26下载
- 积分：1
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Matlab
《MATLAB7.0从入门到精通》全书源码，包括使用说明。(MATLAB7.0 From Novice to Professional book source code, including instructions for use.)
- 2010-09-16 16:43:34下载
- 积分：1
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match_ransac0825
ransac程序，在他人的基础上改进，增进了速度，经过测试，可直接应用于遥感影像匹配去除误差较大点，希望对大家有用。(ransac program, others based on improvements and increased speed tested, can be directly applied to the remote sensing image matching remove errors larger point, and hope to be useful.)
- 2012-09-06 14:10:31下载
- 积分：1
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price_state
translation between discrete data and continus data
- 2013-04-07 01:49:22下载
- 积分：1
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chejianzuoyewentidiandusuanfa
车间调度用该程序模拟，这是软件在实际问题中的应用体现，展示了软件的广泛应用性
(Shop scheduling simulation with the program, which is the software application in practical problems in the embodiment, showing the extensive application of the software)
- 2011-11-21 20:53:54下载
- 积分：1
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ofdmmatlab5
ofdm系统MATLAB仿真源代码。
ofdm系统MATLAB仿真源代码。(MATLAB simulation ofdm system source code.)
- 2009-04-07 19:54:22下载
- 积分：1
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getPDF
Self calibration of robots
- 2009-06-05 00:32:12下载
- 积分：1
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neville-algorithm--Matlab-command
详细讲述了如何利用matlab编写neville插值算法，并且还有相关的matlab命令(Describe in detail how to use matlab to write neville interpolation algorithm, and there are associated matlab command)
- 2012-05-24 00:34:38下载
- 积分：1
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KL_nmf
基于KL散度的NMF算法的实现，收敛性证明可以参考：Lee D D, Seung H S. Algorithms for Non-negative Matrix Factorization[C]// NIPS. 2000:556--562.(Implementation of NMF algorithm based on KL distance)
- 2018-11-13 17:26:03下载
- 积分：1
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RDPTA
Algorithm Given are P training pairs {X1,d1,X2,d2....Xp,dp}, where Xi is (n*1) di is (n*1) No of Categories=R. i=1,2,...P Yi= Augmented input pattern( obtained by appending 1 to the input vector) i=1,2,…P In the following, k denotes the training step and p denotes the step counter within the training cycle Step 1: c>0 , Emin is chosen, Step 2: Weights are initialized at w at small values, w is (n+1)*1. Counters and error are initialized. k=1,p=1,E=0 Step 3: The training cycle begins here. Input is presented and output computed: Y=Yp, d=dp Oi=f(wtY) for i=1,2,….R
Step 4: Weights are updated: wi=wi+1/2c(di-oi)Y for i=1,2,…..R. Step 5: Cycle error is computed: E=1/2(di-oi)2+E for i=1,2,…..R. Step 6: If p<P then p=p+1,k=k+1, and go to Step 3: Otherwise go to Step 7. Step 7: The training cycle is completed. For E=0,terminate the training session. Outputs weights and k. If E>0,then E=0 ,p=1, and enter the new training cycle by going to step 3.
- 2014-11-06 11:12:37下载
- 积分：1
