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interpolation
提供mathlab进行插值，数据回归分析等方法(gg)
- 2010-07-21 12:44:04下载
- 积分：1
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aca
matlab中实现蚁群优化算法在30个城市中寻找一条最优路径。有说明文档。(Ant colony Optimization int matlab and provide a txt document which contains 30 city coordinate)
- 2011-01-10 14:10:42下载
- 积分：1
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MVITCC-master
说明： 基于MVITCC算法的聚类方法，该算法与其他聚类相比提高一定准确率和灵敏度(The clustering method based on mvitcc algorithm can improve the accuracy and sensitivity compared with other clustering methods)
- 2021-01-02 18:35:52下载
- 积分：1
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ImageRetrieval，特征提取，根据提取的仿射变化的特性，然后检索图像，效果好
根据提取的仿射变化特征，图像处理，图像处理方法，可用于初步研究筛选算法，根据仿射变化，提取特征，然后检索图像较好的效果、
- 2022-06-02 20:52:28下载
- 积分：1
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gMIMO-OFDM无线通信技术及MATLAB实现program OFDM_signal.m
gMIMO-OFDM无线通信技术及MATLAB实现program
- 2022-08-12 14:20:53下载
- 积分：1
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changguipid
直流双闭环调速系统的搭建模型，采用PID控制器控制。(Double closed loop DC speed control system to build the model, using the PID controller.)
- 2015-01-19 16:13:36下载
- 积分：1
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EM3D
说明： 计算电磁学的３维矢量有限元方法通用的原程序(Computational electromagnetics Vector 3-D finite element method of the original procedures for GM)
- 2008-10-18 18:31:23下载
- 积分：1
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exp
基于matlab的gui代码实现下拉菜单(matlab gui menu)
- 2011-12-04 20:31:57下载
- 积分：1
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Gauss_noise_generation
随机信号分析实验随机信号分析实验随机信号分析实验随机信号分析实验 一一一一、、、、实验目的实验目的实验目的实验目的：：：： ⑴ 了解随机信号自身的特性，包括均值（数学期望）、均方值、方差、相关函数、概率密度、实验原理实验原理实验原理实验原理： 我们把除了白噪声之外的所有噪声都称为有色噪声。就像白光一样，除了白光就是有色光。 (Experimentelle Analyse von zufä lligen Signal Analyse der zufä lligen Signal Analyse der experimentellen zufä lliges Signal Analyse der experimentellen Test 1111 zufä lliges Signal,,,, Labor-experimentelle Zwecke im Sinne der experimentellen Zwecken Zweck des Experiments:::: ⑴ zufä lliges Signal über ihre Eigenschaften, einschließ lich Mittelwert (mathematische Erwartung) , quadratische Mittelwert, Varianz, Korrelationsfunktion, Wahrscheinlichkeitsdichte, die experimentelle Prinzip Prinzip Prinzip Experiment Experiment Experiment arbeitet: Neben dem weiß en Rauschen, als wir alle werden als farbiges Rauschen bezeichnet, Lä rm. Wie Weiß , mit Ausnahme der weiß en ist ein Schatten.)
- 2011-12-26 11:41:19下载
- 积分：1
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bilinear
In this paper, we introduce a new machine-learning-based data classification algorithm that is applied
to network intrusion detection. The basic task is to classify network activities (in the network log
as connection records) as normal or abnormal while minimizing misclassification. Although different
classification models have been developed for network intrusion detection, each of them has its strengths
and weaknesses, including the most commonly applied Support Vector Machine (SVM) method and the
Clustering based on Self-Organized Ant Colony Network (CSOACN). Our new approach combines the SVM
method with CSOACNs to take the advantages of both while avoiding their weaknesses. Our algorithm is
implemented and evaluated using a standard benchmark KDD99 data set. Experiments show that CSVAC
(Combining Support Vectors with Ant Colony) outperforms SVM alone or CSOACN alone in terms of both
classification rate and run-time efficiency.
- 2013-12-21 13:40:52下载
- 积分：1
