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p10NR
这是一个潮流计算的程序。运用了牛顿—拉夫逊法。求出了各节点电压，功率分布。(This is a process flow calculation. The use of the Newton- Raphson method. Obtained each node voltage, power distribution.)
- 2009-03-29 13:22:59下载
- 积分：1
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chaotic-time-series
详细介绍了混沌时间序列的分析及应用,并给出了具体的例子。(describing the applycation of chaotic time series and giving some examples.)
- 2011-08-31 22:08:49下载
- 积分：1
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123
IT IS THE CODE OF GENETIC ALGORITHEM WHICH IS DEVELOPED IN MATLAB SOFTWARE
- 2015-03-09 16:17:06下载
- 积分：1
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paper2
Matched filtering and timing recovery in digital receivers
- 2015-03-11 21:32:02下载
- 积分：1
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BLDC
电力电子的三相无刷直流电动机的matlab仿真模型(Three-phase power electronics brushless DC motor matlab simulation model)
- 2013-12-30 11:05:56下载
- 积分：1
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SS
说明： Algorithm for Sensor Selection via Convex Optimization
- 2009-12-23 03:09:56下载
- 积分：1
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musicsunfachengxu
一个关于MUSIC算法的源程序，有一点问题，哪位高手帮忙看看为什么不能运行，谢谢了！(one on the source MUSIC, 1:00. Which expert help to find out why not running, thank you!)
- 2006-10-10 12:25:52下载
- 积分：1
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levanon
PAF, PACF by levanon
- 2013-09-28 02:46:57下载
- 积分：1
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modelling2.mdl
it consists of simulink model of PV array with inverter and mppt and aslo description file
PV array with mmp tracking boost Dc-DC
- 2015-01-28 07:14:31下载
- 积分：1
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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.)
- 2013-01-04 23:27:12下载
- 积分：1
