aca-nn

matlab的物理应用，对做物理实验的数据处理很有帮助(matlab physical application to do physics experiments data processing helpful)

关于模糊控制的m文件,不用模糊工具箱，用m文件编写的代码，希望能够给大家提供帮助。(m file about fuzzy control，without fuzzy toolbox,the code written with m file,hope it can help somebody.)

说明：  matlab图像处理函数的详细列表,可实现查找(matlab image processing function of a detailed list can be realized to find)

使用matlab 2010a的实用教程，可以帮助你快速的理解使用matlab进行开发(Using matlab 2010a practical tutorials to help you quickly develop the understanding of using matlab)

Multirate Filtering for Digital Signal Processing MATLAB Applications

用自适应直方图来实现图像增强。属于计算机视觉作业(image enhancing with CLACHE)

用Mathematica写的一个基于分水岭的图像分割算法，过程很详细。(Using Mathematica write a watershed-based image segmentation algorithm, the process in great detail.)

说明：  粗糙集理论中连续属性离散化操作算法，matlab上运行，有数据集(Rough Set Theory discretization operation algorithm)

说明：  使用遗传算法解决车辆路径VRP问题，可用于物流，外卖等的路径规划问题(Using genetic algorithm to solve VRP Problem can be used in logistics, takeout and other path planning problems)

支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 (Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )