SPT

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 )

matlab 波导模式场电力线和磁力线的分布。三维的图形(matlab discribes the waveguide.waveguide model in the good frequency.)

harrispoint image is detectiion corener edge

这是有关matlab的编程，值得一看，呵呵呵呵呵呵呵呵(matlab)

说明：  三层源码构架,vipcard 客户机，服务器，中间层。(san ceng yuan ma gou jia)

Matlab2010经典超强中文教程,一个功能强大的教材，对软件功能和函数命令使用有系统的讲解。适合初学者。(The classic super matlab2010 Chinese guide, a powerful teaching materials, to explain the use of software features and functions command system. Suitable for beginners.)

matlab实现彩色图像的余弦压缩变换，分阈值不同显示(matlab color image compression cosine transform, threshold different display)

ics lms matlab model

CSI in a channel no awgn

matlab入门到精通，对初学者和高手都非常有用。(Entry to the proficient in matlab, is very useful for beginners and master.)