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Tugas
MALWARE DAN BEBERAPA LANGKAH PENCEGAHANNYA
- 2010-12-02 11:32:21下载
- 积分：1
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adaptivethreshold
用matlab编写自适应阈值算法，并调用该自适应阈值函数。(Prepared using matlab adaptive threshold algorithm, and call the adaptive threshold function.)
- 2010-05-12 22:45:50下载
- 积分：1
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KNN
K Nearest Neiborhood algorithm
- 2011-05-08 20:04:07下载
- 积分：1
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power_wind_dfig_det
power wind dfig matlab simulink
- 2012-08-03 06:08:50下载
- 积分：1
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PANFIS
PANFIS - parsimonious
network based on fuzzy inference system
- 2014-11-03 17:23:48下载
- 积分：1
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svm_v0.56beta
一款很好的支持向量机例程，包括一对一，一对多，DAGSVM。(A good support vector machine routines, including one to one, many, DAGSVM.)
- 2011-11-07 20:56:47下载
- 积分：1
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Bayesian_Wavelet_Network
基于贝叶斯网络的小波阈值的图像的降噪，希望能对你们有一定的用处。(Bayesian network based on wavelet threshold image de-noising, hope to have some helpful to you)
- 2014-12-11 11:02:42下载
- 积分：1
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TDOA
wifi定位算法实现基于TDOA的时间差异的定位算法。(Wifi location algorithom,simple and nice!!)
- 2015-01-07 10:07:09下载
- 积分：1
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优秀论文及配套源码 SVM Short-term-Load-Forecasting
优秀论文及配套源码。首先阐述了负荷预测的应用研究现状，概括了负荷预测的特点及其影响因素，归纳了短期负荷预测的常用方法，并分析了各种方法的优劣；接着介绍了作为支持向量机（SVM）理论基础的统计学习理论和SVM的原理，推导了SVM回归模型；本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，而目前依然是基于经验的办法解决。对此，本文采用粒子群优化算法对模型参数进行寻优，以测试集误差作为判决依据，实现模型参数的优化选择，使得预测精度有所提高。实际算例表明，本文的预测方法收敛性好、有较高的预测精度和较快的训练速度。(first expounds the recent application research of load forecasting, summarized the characteristics of load forecasting and influencing factors, summed up common methods of short-term load forecasting, and analyzed the advantages and disadvantages of each method then introduced statistical learning theory and the principle of SVM as the basis of support vector machine (SVM ) theory, SVM regression model is derived this paper adopted least squares support vector machine (LSSVM) model, according to the historical load data and meteorological data of a certain area of Zhejiang Taizhou, Analysised the various factors affecting the forecast, summed up the regularity of load change , amended "outliers" in the historical load data,the load forecasting factors to be considered were normalized. The two parameters of LSSVM have a significant impact on the model, but it is still soluted based on the experience currently. So, this paper adopted particle swarm optimization algorithm to optimized )
- 2021-04-01 17:09:08下载
- 积分：1
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Math_1_2
灰色预测，求关联度、极差、关联系数以及后验差检验(Gray predicts that demand correlation, poor, poor correlation coefficients and posterior test)
- 2014-11-29 13:25:16下载
- 积分：1
