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avorpp
说明： 求解四种佐布尼兹方程近似公式的反射系数，比较方便的m文件(reflection of zoepprtize appoximation)
- 2009-08-07 16:47:21下载
- 积分：1
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wuyuesuyiweijizhiwenti
随书源码_精通MATLAB最优化计算，各种经典的最优化算法例程，便于学习，第6章 无约束一维极值问题(With the book source _ proficient MATLAB optimization calculations, a variety of classic optimization algorithm routines, easy to learn, Chapter 6, the unconstrained one-dimensional extremal problem)
- 2012-06-14 21:16:11下载
- 积分：1
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fBME
relevant vector machine
- 2011-10-01 17:34:56下载
- 积分：1
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Compressed-sensing-program
很好的一个压缩感知程序压缩感知程序(a very good Compressed sensing program )
- 2012-11-19 20:47:22下载
- 积分：1
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DecisionForest_v3.1
说明： 决策树代码，实现数据分类。针对有标记数据进行分类，属于有监督算法(CART decision tree code to realize data classification. Classification for labeled data is a supervised algorithm)
- 2020-10-07 20:29:04下载
- 积分：1
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matlab
分别对正弦波，三角波，方波，一周期内取为整数的64个点（A=4095）；写锯齿波和方波的谐波构成（只写了3、4个）。(Of sine wave, triangle wave, square wave, A week off for integer in the period of 64 points (A = 4095) Write a sawtooth wave and square wave of harmonic (only wrote 3, 4).)
- 2013-08-10 21:49:09下载
- 积分：1
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phase-space-reconstruction
phase space reconstruction for both univarite and multivarite time series
- 2015-03-02 01:56:52下载
- 积分：1
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matlabdrawing
1) 已知x=[1:15], y=[12 34 56 78 99 123 165 198 243 277 353 345 303 288 275], 用多项式进行拟合，给出拟合多项式，(所选拟合多项式阶数不同，拟合结果不同，请你选择适当的阶数进行拟合)，并绘出原始数据点、拟合曲线和95％置信区间（confidence bounds）的图形
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2) 根据下面数学模型建立仿真模型，并在一个示波器中把它们的波形仿真出来。
(1) are known to x = [1:15], y = [12 34 56 78 99 123 165 198 243 277 353 345 303 288 275], with polynomial fitting, given the polynomial fitting, (the election order polynomial fitting different fitting results to differ, please select the appropriate order of fit), and draw original data points, fitting curve and 95 confidence interval (confidence bounds) graphics .2 ) In accordance with the following mathematical model for the establishment of simulation model, and in an oscilloscope waveform in their simulation out.)
- 2008-03-06 10:24:51下载
- 积分：1
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bit2num
Implementacao da rede MLP canonica (backpropagation com gradiente descendente) hgjg
- 2011-05-19 02:01:07下载
- 积分：1
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Shenjinwangluo
（1） 本系统用到四种神经网络对漏电嫌疑系数进行预测，分别是BP神经网络、RBF神经网络、GRNN神经网络、Elman神经网络，通过对神经网络结构参数的设置和调试，可以得到很好的预测效果，实际值和预测值之间的误差能达到5 以内。
（2） 本系统使用matlab做GUI界面，在界面上就可以分别对这四种神经网络的结构参数进行设置，从而可以调整神经网络的结构，达到较好的预测精度。
((1) The system used four neural network to predict the suspected leakage coefficient, respectively, the BP neural network, RBF neural network, GRNN neural network, Elman neural network, the neural network structure parameter setting and commissioning, can get very good prediction, between the actual and predicted values of error of less than 5 . (2) the use matlab to do the GUI interface, the interface can each of these four neural network structure parameters set, the structure of the neural network, which can be adjusted to achieve better prediction accuracy.)
- 2020-11-02 09:59:53下载
- 积分：1
