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lyapunov_modi
經由此程序可以檢驗時間序列是否為混沌的性質(do lyapunov)
- 2009-10-15 20:30:09下载
- 积分：1
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finggui_v36
小波包分析提取振动信号中的特征频率，是路径规划的实用方法，计算多重分形非趋势波动分析。( Wavelet packet analysis to extract vibration signal characteristic frequency, Is a practical method of path planning, Calculate the multifractal trend fluctuation analysis.)
- 2017-01-04 16:40:29下载
- 积分：1
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Latitude_And_Longitude_Conversion_Distance
说明： 我们可以通过地球两点间的经纬度计算对应两点间的求面距离(We can calculate the face distance between the corresponding two points through the longitude and latitude between the two points of the earth.)
- 2021-01-29 16:37:43下载
- 积分：1
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SVM_SteveGunn
matlab支持向量机程序SVM_SteveGu(matlab support vector machine procedures SVM_SteveGu)
- 2007-07-19 08:42:22下载
- 积分：1
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floyd
matlab floyd最短路算法。。。。
- 2010-08-20 21:28:52下载
- 积分：1
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signalandprocesing
压缩文件中包含五个matlab程序，可用于求解信号与系统常用信号（如双边、单边指数信号、门函数等）的傅立叶变换并图形显示变换结果(compressed file contains five Matlab procedures, can be used for signal and the signal system used (such as bilateral, unilateral index signal gate function) of the Fourier transform and graphics transform results)
- 2007-02-05 12:46:50下载
- 积分：1
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MATLAB
这个文件是关于matlab曲线拟合的资料，对学习matlab曲线拟合非常有用(This document is about matlab curve fitting information, to learn matlab curve fitting is useful)
- 2013-11-27 23:59:31下载
- 积分：1
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MATLABlearning
matlab基本程序，是课本类型的，后面有实用的程序(good)
- 2010-08-21 16:59:19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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05d30eba398d
Rbf
intelence artificial implementation
develop
- 2011-01-30 02:49:02下载
- 积分：1
