RBF神经网络自适应控制MATLAB仿真（全书及代码）

蒙特卡罗算法,本人做毕业设计时用的! 有兴趣的可以交流!(Monte Carlo algorithm, I graduated to do the design used! Are interested in the exchange!)

prediction ,plotting,and classification using ann with dimensionality reduction for wegeners disease

Matlab is an ideal tool for simulating digital communications systems, thanks to its easy scripting language and excellent data visualization capabilities. One of the most frequent simulation tasks in the field of digital communications is bit-error- rate testing of modems. The bit-error-rate performance of a receiver is a figure of merit that allows different designs to be compared in a fair manner. Performing bit-error-rate testing withMatlab is very simple, but does require some prerequisite knowledge.

偏最小二乘方法的几个应用实例，对理解和掌握该方法有很大帮助(Partial Least Squares several application examples, to understand and master the methods of great help)

本文使用三维FDTD算法实现文献《Application of the three_Dimensional Method to the analysis if Planar Microtrip Circuits》IEEE trans. On MTT 1990 38(7)的一个矩形微带贴片天线的S11参数的计算。采用MATLAB编程完成数值计算，并与文中的结果进行了比较。(This three-dimensional FDTD algorithm using the document " Application of the three_Dimensional Method to the analysis if Planar Microtrip Circuits" IEEE trans. On MTT 1990 38 (7) of a rectangular microstrip patch antenna of the S11 parameter of the calculation. Complete the numerical calculation using MATLAB programming, and with the text of the results were compared.)

模拟光栅衍射,不同入射角度，得到级次的衍射光场(simulation grating diffracton)

这是一个简单易理解的在MATLAB环境下编写的字符识别程序，希望能为您提供参考。(This is a simple and easy to understand written character recognition program in the MATLAB environment, hoping to provide a reference for you.)

这个是关于matlab的，里面有matlab的大量可供参考的案例，还有几个ppt也是这方面的，比较好，分享给大家。(This is mainly the MATLAB language and control system simulation, there are a large number matlab reference case, there are a few ppt is in this respect, better, to others.)

详细介绍自适应滤波算法原理，设置自适应滤波器等并带有详细模型仿真(Details adaptive filtering algorithm, the set and the adaptive filter with a detailed model simulation, etc.)

In statistics, Isomap is one of several widely used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated with the classical scaling (metric multidimensional scaling). Isomap is used for computing a quasi-isometric, low-dimensional embedding of a set of high-dimensional data points. The algorithm provides a simple method for estimating the intrinsic geometry of a data manifold based on a rough estimate of each data point’s neighbors on the manifold. Isomap is highly efficient and generally applicable to a broad range of data sources and dimensionalities.