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lab_2
使用matlab对图面均衡处理,并画出前后的直方图(Matlab on the surface using a balanced approach, and draw the histogram before and after)
- 2010-07-01 15:02:05下载
- 积分:1
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overvoltage
电系统过电压仿真程序,基于matlab和vc的混合编程,matlab动态仿真(Over-voltage power system simulation program, based on matlab and vc mixed programming, matlab dynamic simulation)
- 2008-03-16 01:52:16下载
- 积分:1
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IconEditor1234
iconeditor icon editor for creating and editing icons and small images
- 2010-10-22 01:01:15下载
- 积分:1
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p08_boundary_segment
returns the number of boundary segments for the P08 region
- 2009-12-08 16:21:45下载
- 积分:1
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Onda
Algorithm of a Binary Wave!
- 2011-12-09 01:34:25下载
- 积分:1
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Hierarchical
层次聚类算法 MATLAB实现,没有调用函数(Hierarchical clustering algorithm based on MATLAB realize, do not call the function)
- 2015-04-03 11:32:02下载
- 积分:1
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keystone
PD雷达LFM波形相干积累中距离单元走动后应用keystone变换修正matlab源代码(PD radar LFM waveform coherent accumulation in the distance unit to move around keystone transform correction Matlab source code)
- 2020-08-17 21:38:23下载
- 积分:1
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CP0303_PPM_RANDOM
随机调制信号下的模拟ppm的matlab仿真(random modulation signal simulation ppm of Matlab simulation)
- 2007-01-10 13:24:57下载
- 积分:1
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EXP5
MATLAB PROGRAM FOR DESIGN OF FULL ORDER OBSERVER
- 2013-10-23 01:34:47下载
- 积分:1
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BP-and-SOM
BP(Back Propagation)网络是一种按误差逆传播算法训练的多层前馈网络,是目前应用最广泛的神经网络模型之一。
BP网络能学习和存贮大量的输入-输出模式映射关系,而无需事前揭示描述这种映射关系的数学方程。
它的学习规则是使用最速下降法,通过反向传播来不断调整网络的权值和阈值,使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层(input)、隐层(hide layer)和输出层(output layer)。
通过对信息的提取以及记忆,用作分类、聚类、预测等。
(BP (Back Propagation) network is a pre-press error back propagation algorithm Multilayer feedforward network, is one of the most widely used neural network model. BP network can learn and store a large amount of input- output mode mapping without prior reveal mathematical equations that describe the mapping relationship. It s learning rule is to use the steepest descent method, by reverse spread to constantly adjust the network weights and thresholds and the minimum sum of squared error of the network. BP neural network topology comprises an input layer (input), hidden layer (hide layer) and an output layer (output layer). By extracting information and memory, it is used as classification, clustering, prediction.)
- 2016-03-09 10:41:33下载
- 积分:1