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2054701e599316ad5b909b3764812dc2a2e7d5
聚类算法在MATLAB软件中的实现，用于解决聚类算法的一系列问题。(Clustering algorithm in MATLAB software implementation, clustering algorithm used to solve a series of questions.)
- 2010-07-06 18:58:02下载
- 积分：1
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MatlabReadYuvVideoSequence
MATLAB读取YUV4：2：0视频序列代码(MATLAB read YUV4: 2:0 video sequence code)
- 2009-06-02 16:45:43下载
- 积分：1
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wigb
用于应用二维数组，生成地震记录剖面，对于地震模型的模拟数据快速生成剖面很有帮助。(A two-dimensional array for application and generates seismic records for seismic model section of analog data generated fast profile is very helpful.
)
- 2011-05-30 13:31:56下载
- 积分：1
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nn
说明： 有关BP算法权值修正的过程 用matlab编程 还可以用于神经预测(The BP algorithm weight correction process with the MATLAB programming can also be used for neural prediction
)
- 2012-05-14 21:00:33下载
- 积分：1
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zyypem
根据阶跃响应实验数据，利用PEM函数辨识MAF传感器的模型(experimental data and the use of PEM function identification MAF Sensor Model)
- 2007-03-16 17:49:15下载
- 积分：1
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mallatalgorithm
关于MALLAT算法的原理和程序，matlab编制(MALLAT algorithm on the principles and procedures, the preparation of Matlab)
- 2007-05-13 17:34:24下载
- 积分：1
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tiaopin_maichong-
此文件包含跳频信号的生成和脉冲干扰信号的生成，可以结合二者产生跳频脉冲信号(This file contains the frequency hopping signal generation and pulse interference signal generation, you can combine the two to produce a frequency-hopping pulse signal)
- 2013-02-27 16:49:02下载
- 积分：1
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paper
Design of an Adaptive Neural Kinematic Controller for a National Instrument Mobile Robot System
- 2015-01-06 05:03:51下载
- 积分：1
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MIMO-location_relay_selection
Cooperative MIMO system
- 2014-03-05 20:42:50下载
- 积分：1
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BFGS
拟牛顿法和最速下降法(Steepest Descent Methods)一样只要求每一步迭代时知道目标函数的梯度。通过测量梯度的变化，构造一个目标函数的模型使之足以产生超线性收敛性。这类方法大大优于最速下降法，尤其对于困难的问题。另外，因为拟牛顿法不需要二阶导数的信息，所以有时比牛顿法(Newton s Method)更为有效。如今，优化软件中包含了大量的拟牛顿算法用来解决无约束，约束，和大规模的优化问题。(The quasi-Newton method and the Steepest Descent Methods only require that each step iterations know the gradient of the objective function. By measuring the change of the gradient, constructing a model of the objective function is sufficient to produce superlinear convergence. This method is much better than the steepest descent method, especially for difficult problems. In addition, because the quasi-Newton method does not require information on the second derivative, it is sometimes more effective than the Newton s Method. Today, the optimization software contains a large number of quasi-Newton algorithm used to solve the unconstrained, constraint, and large-scale optimization problems.)
- 2017-05-05 10:28:29下载
- 积分：1
