disamm

H-Guide Matlab Code by FDTD nethod

HHT精华讨论，对运用ＨＨＴ进行数据分析时遇到的问题有详细的解答，是学习ＨＨＴ不可或缺的资料(HHT essence discussion, this paper analyzed the data using HHT is there detailed solution to the problems encountered in the process of, is indispensable to study HHT data)

经典huogh变换和改进的hough变换(standard hough trans and the improved hough transform)

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

说明：  神经网络的综合基础的试验文件，用于数学建模中的神经网路算法(Integrated neural network based test file)

这是用matlab编写的一个kalman滤波器，数字信号实验维纳滤波，估计AR模型参数(using Matlab is prepared by a Kalman filter, digital signal experimental Wiener filtering, AR model parameters estimated)

matlab例程,如何作图,如何生成eps文件(matlab example, used to generate figure and eps file)

用simulink对风电场进行建模分析得到功率以及电流的仿真图(This example uses an initial state vector to start the simulation steady-state. When you make changes to the model (add, delete, rename blocks, etc), the initial state vector needs to be regenerated or disabled, otherwise Simulink signals an error when the simulation is started. To disable the use of initial state vector for this model, go to the Data Import/Export section of the Model Configuration Parameters tool and uncheck the Initial state option under the Load workspace section. To regenerate the initial state vector after a change to the model, follow the instructions given in the initialization file for this model. Type open( init_power_wind_dfig ) at the matlab prompt to view this file.)

The classical beetle data is analysed using logistic regression and MCMC.

优化设计中常用的 牛顿法 和二次插值法 应用十分广泛 求解凸函数的极值和极值点问题(Commonly used to optimize the design of the Newton' s law and application of quadratic interpolation method for solving a wide range of convex functions and extreme points of the extremal problem)