wigb

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 )

柱形统计图，能够直接得出图像的灰度直方图。 里面有程序的源代码(Histogram, can directly draw the image histogram. There are procedures for source code)

simple dsge model in dynare

useful for INS simulation

16QAM Vblast 误码率仿真(16QAM Vblast BER simulation)

说明：  最小二乘一次完成算法，压缩包里以给出数据，可以运行试试看。(A complete least-squares algorithm, data compression is given a bag, you can try to run.)

generic algorithm code in matlab

基于IEEE N节点Matlab潮流计算程序(Based on the N nodes Matlab trend calculation program)

waveletEMDimproved的原始版本，以小波软阈值降噪对信号进行预处理，对预处理后的信号进行EMD分解(the original version waveletEMDimproved, wavelet soft threshold denoising preprocessing the signal, signal pretreated with EMD)

matched field processing定位仿真。根据porter的kraken模型跑出来的。(matched field processing positioning simulation. According porter ran out of the kraken model.)