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rvm
说明： 这是一个完善的RVM算法。其性能良好，代码清晰。能够很好的用于分类。(This is a perfect RVM algorithm. Its good performance, the code clear. Can be good for classification.)
- 2011-04-09 11:31:07下载
- 积分：1
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prac09
Beat Tracking by Dynamic Programming
This page illustrates the use of the beat_* functions to implement a simple music audio beat tracker based on dynamic programming, as described in: D. Ellis Beat Tracking by Dynamic Programming J. New Music Research 36(1): 51-60, March 2007, DOI: 10.1080/09298210701653344.
- 2015-03-30 22:26:36下载
- 积分：1
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bp526
matlab编的程序，很好的matlab编的程序，(matlab allocation procedures, allocation matlab good procedures,)
- 2009-01-01 23:40:58下载
- 积分：1
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main
antenna design using matlab
- 2011-05-07 01:06:15下载
- 积分：1
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hush
this is a very good for engeering a matlb format that help you to do neural network
- 2012-05-11 01:03:12下载
- 积分：1
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NeuralNetwork_RBF
RBF神经网络用于分类与回归，非常实用，强烈建议下载(RBF neural network for classification and regression, very practical, it is strongly recommended to download)
- 2009-09-22 00:22:37下载
- 积分：1
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BP
说明： Matlab 人工神经网络工具箱中的BP 工具函数及其应用(Matlab neural network toolbox of BP tools function and its application)
- 2008-03-15 22:00:50下载
- 积分：1
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jiefangcheng
说明： matlab 解方程，希望对大家有帮助，写得很好(matlab programming source code, we want to help, very well written)
- 2010-04-21 09:28:40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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dspdesign
通过Matlab GUI创建用户界面，对语音信号进行频谱分析及滤波,高通、低通、带通等
(Created by Matlab GUI user interface, the speech signal spectrum analysis and filtering, high pass, low pass, band pass, etc.)
- 2011-05-23 15:12:02下载
- 积分：1
