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multidiel
multidiel.m - reflection response of isotropic or birefringent multilayer structure( multidiel.m- reflection response of isotropic or birefringent multilayer structure)
- 2009-10-10 20:25:43下载
- 积分：1
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suanfa
数值解与理论解对比可知，四阶龙格-库塔法的精度已经很高，用它来解一般常微分方程已经足够了。(Numerical comparison shows that the theoretical solutions, Runge- Kutta method has high accuracy, and use it to solve ordinary differential equations general enough.)
- 2010-11-04 23:23:16下载
- 积分：1
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77433649Arnold_Matlab_code
用matlab实现Arnold置乱和周期计算。其中，算法简单，效果好！(Arnold scrambling with matlab implementation and periodic calculations)
- 2010-05-10 23:52:38下载
- 积分：1
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EntropyWeight
熵权法求指标权重,R为输入矩阵,返回权重向量weights(Entropy weight method)
- 2020-12-30 14:58:59下载
- 积分：1
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rake
对MIMO中的瑞可接收机进行仿真，绝对可以运行的
(On the MIMO receiver in Sweden can be simulated)
- 2009-12-27 16:14:08下载
- 积分：1
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soundpcm
语音PCM编码，从输入，在高斯白噪声下传输到译码(PCM voice coding, from the importation of the white Gaussian noise transmitted to the decoder)
- 2006-10-17 13:41:16下载
- 积分：1
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kaerman
kaerman跟踪算法。基于“当前”统计模型的模糊自适应跟踪算法 我存的一篇论文，拿来与大家共享(kaerman program of trail or target)
- 2014-09-20 18:55:54下载
- 积分：1
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shenjingwangluo
T=[1 0 0 1 0 0 1 0 0
0 1 0 0 1 0 0 1 0
0 0 1 0 0 1 0 0 1]
输入向量的最大值和最小值
threshold=[0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1]
net=newff(threshold,[31 3],{ tansig , logsig }, trainlm )
训练次数为1000，训练目标为0.01，学习速率为0.1
net.trainParam.epochs=1000
net.trainParam.goal=0.01
LP.lr=0.1
net = train(net,P,T)
测试数据，和训练数据不一致
P_test=[0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319
0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 (T = [1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] ' of the maximum and minimum input vector threshold = [0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net = newff (threshold, [31 3], {' tansig' , ' logsig' }, ' trainlm' ) training times for the 1000 target of 0.01 training, learning rate of 0.1 net.trainParam.epochs = 1000 net. trainParam.goal = 0.01 LP.lr = 0.1 net = train (net, P, T) test data, and training data inconsistencies P_test = [0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 )
- 2011-05-21 16:47:44下载
- 积分：1
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fangyen
sar图像去噪的几种新的方法，基于matlab GUI界面设计,鲁棒性好，性能优越。( Several new methods sar image denoising, Based on matlab GUI interface design, Robustness, superior performance.)
- 2016-11-10 19:20:07下载
- 积分：1
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Powerflow
说明： IEEE33潮流计算函数，主程序输入负荷就可以进行潮流计算。输出电压网损功角(IEEE33 power flow calculation function, the main program input load can be used for power flow calculation. Output Voltage Network Loss Power Angle)
- 2019-04-03 19:55:20下载
- 积分：1
