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pengtaiyu2

于 2008-05-20 发布 文件大小:1KB
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代码说明:

  四阶龙格库塔法,大学MALAB实践课程 需要的请下载(Fourth-order Runge-Kutta method, the University needs MALAB practical courses please download)

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  • insert
    基于能量分离语音,声场景方面的。其实是更好的分段,算是预处理吧(Based on the energy separation of voice, sound and scene.)
    2010-09-10 18:00:31下载
    积分:1
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    2013-08-12 10:18:35下载
    积分:1
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    说明:  二阶巴特沃斯(Butterworth)低通滤波器(Low pass filter)
    2010-09-07 10:32:29下载
    积分:1
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    说明:  通过不同大小的窗口移动,计算每个窗口内地形剖面数据的均方根值,得到的数据在双对数图中拟合直线可求得分维数(move the windows of different size and calculate the rms of the data in the window.Then using the resultant data to plot,so that the fractal dimension can be gotten.)
    2010-05-03 17:30:18下载
    积分:1
  • matlabGenetic
    说明:  基于遗传算法matlab优化程序 代码基于遗传算法matlab优化程序(GA problem)
    2011-04-16 22:48:16下载
    积分:1
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    Adaptive Neuro-Fuzzy Inference System By Jang (ANFIS)
    2012-04-02 02:11:44下载
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    遗传算法的优化计算—— -建模自变量降维(Genetic Algorithm optimization model - argument dimensionality reduction)
    2016-03-03 10:06:31下载
    积分:1
  • Artificial-Intelligence-pneumonia
    利用朴实贝叶斯方法求解有关肺炎的问题。肺炎对应有四个特征:发烧、疼痛、咳嗽和血细胞异常,当确定了患肺炎与否时,四个特征条件独立。假设患肺炎与否和四个特征都可表示为Ture和False。 根据pneumonia.tex文件中的数据(500行,每行前4个数对应4个特征变量,第5个数对应患肺炎是否为真,以0表示False,1表示Ture),编写Matlab 程序 maininference.m,从example.txt中读取病人的症状信息(0表示False,1表示True,-1表示not given),并计算对应的患肺炎的可能性。所给的信息按发烧、疼痛、咳嗽、血细胞异常的顺序排列。将计算结果保存在answer.txt中。(Simple Bayesian method to solve the question of pneumonia. Pneumonia corresponding four characteristics: fever, pain, cough and blood cell abnormalities, determine the risk of pneumonia or not, the four characteristics of conditional independence. Assumptions suffering from pneumonia or not and four features can be represented as Ture and False. According to the data pneumonia.tex file (500 lines, each line of the first four numbers corresponding to the four characteristic variables, number 5 corresponds to the risk of pneumonia is true, 0 represents False, said Ture), to write Matlab program maininference. m from example.txt read the information of the patient' s symptoms (0 = False, said True, the-1 indicates not given), and to calculate corresponding to the likelihood of suffering from pneumonia. The information given by the order of fever, pain, cough, blood cell abnormalities. The calculated results is be saved in answer.txt.)
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    积分:1
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