ch5example7prog1

Generation of generalized Bode envelopes for linear interval uncertain systems.

ERSTUDIO資料建模工具的学习资料，不错。(ERSTUDIO data modeling tool of learning materials, good. ERSTUDIO資料建模工具的学习资料，不错。 ERSTUDIO data modeling tool of learning materials, good. )

用风电功率历史数据来对未来一段时间功率的数值进行预测，通过Matlab软件编程和Excel处理数据，用神经网络仿真预测法、灰度预测法、时间序列预测法通过历史数据所呈现出来的一些规律对某段时间的风电功率展开预测，预测之后对得到的数据进行误差分析，通过与一些标准的对比来确定预测方法的可靠程度(Using historical data to forecast wind power to the value to the future time power, by Matlab software programming and Excel data processing, neural network simulation and prediction of wind power law method, gray prediction method, time sequence prediction method based on the historical data are presented for a period of time after the start prediction, prediction the data are error analysis, by comparing with the standard to determine the degree of reliability prediction method)

MATLAB FUZZY BASIC OPERATION

粒子群算法入门程序，对一个示例函数求极大值，程序含有详细注释。(PSO entry procedures to request a sample function of maximum value, the program contains the detailed comments.)

passive filter simulink file to reduce harmonics

遥感图像在matlab中读取和图像保存，可以使遥感数据，在matlab保存，并从matlab中保存出来。(Remote sensing image reading and image save in matlab can make remote sensing data stored in matlab, and saved from the matlab.)

semblance analysis in matlab

：MATLAB 是目前在国际上被广泛接受和使用的科学与工程计算软件。虽 然 Cleve Moler教授开发它的初衷是为了更简单、更快捷地解决矩阵运算，但 MATLAB 现 在的发展已经使其成为一种集数值运算、符号运算、数据可视化、图形界面设计、程序设 计、仿真等多种功能于一体的集成软件。 (MATLAB is now widely accepted and used in the international science and engineering calculation software. Although However, Professor Cleve Moler its original intention was to develop a simpler, more efficient solution to the matrix operation, but now MATLAB Has been making in the development of a set of numerical computation, symbolic computation, data visualization, graphical interface design, program design Meter, simulation and other functions in one integrated software)

Duchi and Singer [24] proposed a boosting method for multi-class classification problems by utilizing the structural sparsity of model parameters. They claimed that the method can be generalized for multi-task learning.