Glzy8_5839_209_ppt

采用遗传算法对于加工问题的排序,使其最快.(The use of genetic algorithm to sort the problem for the processing to make it the fastest.)

The Fourier transform, named for Joseph Fourier, is an integral transform that operates on the mathematical representation of a function in time and produces a function in frequency. The term Fourier transform customarily refers to both the transform operation and to the function it produces.

基于贝叶斯的抠像算法，通过一个最大似然的标准去估计透明度(A Bayesian Approach to Digital Matting，uses a maximum-likelihood criterion to estimate the optimal opacity)

matlab design file for power system project

谱减法的语音降噪模型仿真，具有较好的降噪效果。(Spectral subtraction noise model simulation of voice and has good noise reduction.)

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 )

说明：  matlab下利用相位相关对待匹配图像完成配准(matlab treated under the matching images using phase correlation to complete registration)

该方法 基于快速傅里叶变换，求解方形区域的poission方程 比差分 有限元快。

最优化的共轭梯度法，适应于两个参数的无条件极值的求取(Matlab process)

lagre no of m file for matlab course code