gatbx

It just stands for the number of task could use this autogroup.

一个齿轮转子动力学的模型及临界转速求解的matlab代码。(dynamics analysis of a gear system.)

GA TSP to neuron network

本程序教你如何打开excel文档，将要写进去的内容写进表格中，轻轻松松完成打开关闭表格工作(This program teaches you how to open excel document, will be written into the write into the contents of the table, turn off the form easy to complete the work of)

LBP code has implemented here to extract texture pattern a gray scale image.

关于随机共振的所有实例，有势阱含义的动画显示，有随机共振系统检测微弱信号，还有输入输出的信噪比计算，非常好的源程序，希望对您有帮助(You can use those files to learn the concept of sr.)

说明：  电动汽车模型，用于整车性能和功能仿真。便于学习、交流(Electric vehicle model for vehicle performance and function simulation. Easy to learn and communicate)

遗传算法的标准MATLAB程序，共有12个子m文件(Standard genetic algorithm MATLAB program, a total of 12 sub-m file)

2011年全国大学生数学建模山东省二等奖论文作品(2011 National Undergraduate Mathematical Modeling of Shandong province two prize paper works)

：该文把局部三值模式(Local Ternary Patterns, LTP)纹理特征引入Mean Shift 跟踪算法，提出了基于多 特征的Mean Shift 人脸跟踪算法以解决Mean shift 跟踪算法的鲁棒性问题。通过对LTP 纹理特征的分析、研究， 提出了一个LTP 关键纹理模型，既增强了目标的关键纹理信息，又简化了LTP 纹理模型。在此基础上，提出一 种基于LTP 关键纹理特征和肤色特征的Mean Shift 人脸跟踪算法，有效地解决了Mean Shift 算法的鲁棒性问题。 为进一步提高对快速运动目标的跟踪速度和跟踪性能，该文引入了卡尔曼滤波器对目标进行预测。实验结果表明， 该文的算法在目标定位的准确性和跟踪性能上比Mean Shift 算法均有明显的提高。(: In this paper, the texture characteristics of the local ternary patterns Local Ternary Patterns (LTP) Mean Shift tracking algorithm proposed Mean Shift face tracking algorithm based on multiple features in order to solve the Mean shift tracking algorithm robustness. Texture characteristics of LTP analysis, research, a key LTP texture model, not only enhanced the key goal of texture information, but also simplifies the the LTP texture model. On this basis, based on the LTP key texture features and color characteristics Mean Shift face tracking algorithm, effectively solved the robustness of the Mean Shift algorithm. To further enhance the fast-moving target tracking speed and tracking performance, this paper introduces the Kalman filter to predict the target. The experimental results show that the algorithm of the text in the target positioning accuracy and tracking performance than the Mean Shift algorithm to significantly improve.)