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matlab算法源程序,重要介绍了三十多种算法，可以直接应用于各种实际问题。(matlab prom)

在这个压缩文件中，你能看到用两种方法仿真机器人动作的例子。(In this file you can find an example that simulated a robot with using two soft wares.)

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 )

实现了对于存在多个旅行商的开环路径最优求解，就是确定路径的起点和终点(Open Multiple Traveling Salesmen Problem )

在matlab r2010a环境下编写的newton-lagrange算法，可以求解约束优化问题，程序返回目标函数值及拉格朗日乘子。(In matlab r2010a environment prepared newton-lagrange algorithms can solve constrained optimization problems, the program returns the value of the objective function and Lagrange multipliers.)

fibonacci search algorithm matlab

Matlab写的fisher 分类器,很简单适合初学者，体验机器学习的过程(Fisher Linear Discriminant Analysis in Matlab。It fit the people who learning the Machine Learning at first time.)

用时间序列和小波分析相互结合的基于小波的时间序列预测方法，该方法比较可靠，欢迎大家下载。(Wavelet analysis of time series and combined with each other in the time series prediction method based on wavelet, this method is more reliable, welcome to download.)

说明：  cost207无线信道模型,希望对大家有所帮助！一起进步！(cost207 wireless channel model, we want to help! Together with progress!)

说明：  基于短时能量 短时过零率 自相关函数的语音清浊分类算法(Zero based on short-term rate of short-term energy autocorrelation function of speech voicing classification algorithm)