neural-MLP-classifier

利用MATLAB编写GMM图像处理模块。具有较好的效果。。。(GMM prepared using MATLAB image processing module. With good results. . .)

近年来发展的多线圈并行采集技术极大地缩短了扫描时间,敏感度编码(sensitivityencoding,SENSE)技术就是其中的代表,(In recent years the development of coil parallel sampling technology more greatly shorten the scanning time, sensitivity encoding (sensitivityencoding, SENSE) technology is one of the representative,)

matlab的一个小程序，for循环，这事最基础的程序，大家一定要掌握的(matlab a small program, for circulation, this most basic procedures, the U.S. must find the)

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 )

关于向图像中嵌入二值图像作为水印，用的是交换中频系数的方法。(DCT watermarking)

Document for simulink model control

利用次端点镜像法对EMD边界进行延拓，其效果较好，仅供参考(Image method using sub-end extension on the EMD boundaries, the better, for reference only)

The median filter is normally used to reduce noise in an image, somewhat like the mean filter. However, it often does a better job than the mean filter of preserving useful detail in the image.

自动控制技术及其应用在现代科学技术的许多领域中，自动控制技术起着越来越重要的作用(Automatic control technology and its application in many areas of modern science and technology, automatic control technology plays an increasingly important role)

本文主要讲述了LTE的几种比较常见的算法，比较容易理解(This paper describes several of the more common LTE algorithms, easier to understand)