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实现四阶龙格库塔算法，求解非线性方程或是非线性方程组。(To achieve fourth-order Runge-Kutta algorithm for solving nonlinear equations or nonlinear equations.)

matlab在几何分形图中的应用，对初学分形课的同学有很大帮助(matlab in the geometry of fractal images, fractal lessons for beginners of great help to students)

用遗传算法来改善BP神经网络模型，可以很好的用于最优化、预测等问题的求解(Using genetic algorithms to improve the BP neural network model, can be very good for optimization, forecasting and other problem solving)

最小二乘支持向量机,用于多元非线性回归分析,非线性拟合与预测(Least squares support vector machine for multi-linear regression analysis, nonlinear fitting and prediction)

这是一章山西大学物理系开的matlab课程的课件(This is a Department of Physics, Shanxi University chapter of matlab programs open courseware)

说明：  压缩感知（Compressive Sensing(CS)，或称Compressed Sensing、Compressed Sampling）。该理论指出：对可压缩的信号可通过远低于Nyquist标准的方式进行采样数据，仍能够精确地恢复出原始信号。该理论一经提出，就在信息论、信号/图像处理、医疗成像、模式识别、地质勘探、光学/雷达成像、无线通信等领域受到高度关注，并被美国科技评论评为2007年度十大科技进展。(Compressed Sensing (Compressive Sensing (CS), known as Compressed Sensing, Compressed Sampling). The theory states: compressible signal can be much lower than the Nyquist criterion for sampling data, and still be able to accurately recover the original signal. The theory was put forth, to receive significant attention in the field of information theory, signal/image processing, medical imaging, pattern recognition, geological exploration, optical/radar imaging, wireless communications, and Technology Review named the 2007 top ten scientific and technological progress.)

与Kosko文章相关的，经典卡车倒车问题（TBU）模糊控制Matlab/Simulink源代码。(Truck Back Up problem by using Fuzzy Control.)

用于学习matlab语言编程的PPT文档，里面含有编程源代码。(Matlab programming language for learning PPT document, which contains programming source code.)

Test Shell Activity extends Activity implements Layout Test Controller.

matlab中同步电机在dq轴系下的建模，转子绕组短路定子绕组突然加对称电压，无阻尼绕组，自己用S函数编的，很好用的哦，适用于初学(matlab modeling of the synchronous motor in dq shaft under the rotor winding short-circuit the stator winding suddenly and symmetrical voltage damper winding S function series, very well used, suitable for beginners)