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CurvilinearRegressionAnalysing
曲线回归分析:直线回归、双对数回归、半对数回归、倒数回归(Curvilinear regression analysis: linear regression, double logarithmic regression, semi-logarithmic regression, countdown)
- 2009-12-31 22:10:23下载
- 积分:1
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mnth
一个模拟退火算法的例子,程序虽然简单但降温条件,降温函数,内外终止准则都有。可供初学者参考。(Example of a simulated annealing algorithm, the program is simple but cool conditions, cooling function, both inside and outside the termination criterion. Reference for beginners)
- 2011-12-17 16:32:53下载
- 积分:1
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instfreq
this code extract instantaneous frequency of signal
- 2012-01-16 22:17:07下载
- 积分:1
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kecoefficient
CFD计算中的RANS湍流模型中,入口处的K和e的初始化(Initialization of K and e at the entrance of RANS turbulence model in CFD calculation)
- 2020-06-21 09:40:02下载
- 积分:1
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MATLAB_LMS1
自适应滤波器LMS算法的误差性能曲面和等高线,并在等高线上绘出最陡下降法和LMS迭代的轨迹曲线,配合数字信号处理2课程的学习(LMS adaptive filter algorithm for the error performance surface and contour lines and contour line drawn in the steepest descent method and the LMS iterative trajectory curve, with 2 digital signal processing courses)
- 2008-04-25 09:51:26下载
- 积分:1
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malab1
这部分主要是《M AT L A B指南》中命令的简短说明,供查阅使用。(This part is mainly " M AT LAB Guide" and a brief description of the command, are available for inspection use.)
- 2009-09-17 00:10:25下载
- 积分:1
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plss
PLSS基于样条基函数变换的偏最小二乘法(Plss spline based on function transformation PLS)
- 2008-03-10 13:50:14下载
- 积分:1
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CICfiltering
cic filteringcic filtering
- 2012-02-14 15:07:04下载
- 积分:1
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gpml-matlab-v3.1-2010-09-27
说明: 高斯过程算法在回归和分类中的应用程序。与书本《基于高斯过程的机器学习》配套。本程序是最新的v3.1版,更新于2010-09-27(Gaussian process regression and classification algorithm in the application. And the book " machine learning based on Gaussian process" support. This program is the latest v3.1 version, updated on 2010-09-27)
- 2011-03-12 16:18:39下载
- 积分:1
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Markov_chain
马尔科夫链的Matlab源程序,求解多目标优化问题所得结果是一个优化解集,求解多目标优化问题所得结果是一个优化解集(Markov chain Matlab source, multi-objective optimization problem the result is an optimized solution set for solving multi-objective optimization problem the result is an optimized solution set)
- 2013-07-25 07:22:16下载
- 积分:1