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bisection_new
Step 1: Set i=1
FA=f(a)
Step 2: while i≤ No do step 3-6.
Step 3 set p=(a+b)/2
FP=f(p)
Step 4 if FP<TOL or (b-a)/2<TOL then
OUTPUT(p)
STOP.
prepared by Razana Alwee
24
Algorithm
Step 5 set i=i+1
Step 6 if FA.FP > 0 then set a=p
FA=FP
else set b=p.
Step 7 OUTPUT (‘Method failed after No iteration,
No=’, No)
- 2011-11-23 09:49:57下载
- 积分:1
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Hyper
超级图模型matlab代码,是一个很好例子,给研究者带来帮助(Super model matlab code, is a good example, to bring help to the researchers)
- 2013-05-13 08:36:29下载
- 积分:1
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dianlidianzichaosyuandaima
电力电子混沌分岔现象,通过boost变换器分岔程序对其他变换器做出参考。(Chaos bifurcation diagram of power electronic converter, through the boost converter bifurcation program can make reference to other converters.)
- 2016-06-30 21:42:55下载
- 积分:1
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Txtread
在MATLAB中txt文档等的读入,数学建模时候做的关于大量英文字符的录入及转化分组。(A useful tool for read txt,etc)
- 2010-08-26 18:53:56下载
- 积分:1
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ebp1
matlab动量梯度下降算法
生成一个新的前向神经网络
对BP神经网络进行训练
对BP神经网络进行仿真(Momentum matlab gradient descent algorithm to generate a new feed-forward neural networks trained BP neural network on the BP neural network simulation)
- 2009-05-09 23:42:40下载
- 积分:1
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BG
非线性和非平稳时间序列突变检测的新方法—BG分割算法(Nonlinear and non-stationary time series new method of mutation detection-BG segmentation algorithm)
- 2013-08-12 10:18:35下载
- 积分:1
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10122012-Voice-recognition-LPC-VS-MFCC-with-K-NN
Voice recognition LPC VS MFCC with K-NN
- 2013-03-16 02:21:55下载
- 积分:1
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cluster VMDaFCM casedat
为了精准、稳定地提取滚动轴承故障特征,提出了基于变分模态分解和奇异值分解的特征提取方法,采用标准模糊C均值聚类(fuzzy C means clustering, FCM)进行故障识
别。对同一负荷下的已知故障信号进行变分模态分解,利用
奇异值分解技术进一步提取各模态特征,通过FCM形成标准聚类中心,采用海明贴近度对测试样本进行分类,并通过计算分类系数和“卜均模糊嫡对分类性能进行评价,将该方法
应用于滚动轴承变负荷故障诊断。通过与基于经验模态分解的特征提取方法对比,该方法对标准FCM初始化条件小敏感,在同负荷故障诊断中表现出更好的分类性能 变负荷故障诊断时,除外圈故障特征线发生明显迁移,其他测试样本故障特征线仍在原聚类中心附近,整体故障识别率保持在100 ,因此,该方法能精确、稳定提取故障特征,为实际滚动轴承智能故障诊断提供参考。( In order to extract fault features of rolling bearing precisely and steadily, a method which is based on variational mode decomposition(VMD) and singular value
decomposition was proposed for fault diagnosis using standard
fuzzy C means clustering(FCM). First of all, the known fault signals measured in the same load but with different faults were
decomposed by VMD, and the modes characteristics were
further extracted using singular value decomposition technique,forming the standard clustering centers by FCM, and then the
test samples were clustered by a Hamming nearness approach,
and the classification performance was uated by calculating classification coefficient and average fuzzy entropy. At last, the method was applied in rolling bearing fault diagnosis under
variable loads. By comparing with a method based on EMD,
this approach is not sensitive to the initialization of standard FCM, and exhibits better classification performance in the same load fault diagnosis Fo)
- 2020-11-11 20:59:44下载
- 积分:1
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chinese_version_of_the_gold_reference_for_Verilog
Verilog_黄金参考中文版,共HDL开发的朋友使用,要珍惜哦!(Gold reference Verilog_ Chinexe version of Friends of the total development of the use of HDL, it is necessary to cherish Oh!)
- 2009-04-01 13:48:54下载
- 积分:1
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OFDM_Rayleigh_10tapch
the code simulates the ofdm over rayielgh fading channels
- 2012-05-22 22:32:13下载
- 积分:1