GApareto

简单快速近邻算法是一种典型的模式识别方法：在二维平面一矩形范围内随机产生训练样本，任意划分为三个区域，用快速近邻法确定待识别实验样本的所属分类。(Simple and fast nearest neighbor algorithm is a typical pattern recognition methods: randomly generated training samples in a rectangular range of two-dimensional plane, arbitrarily divided into three regions to determine the unknown experimental samples of Class fast nearest neighbor.)

说明：  re initialization reaction diffusion mrthod

以Simulink为主要工具介绍了系统仿真方法与技巧，包括连续系统、离散系统、随机输入系统和复数系统的仿真。介绍了模声封装技术、电力系统模块集、非线性系统设计模块集、S-函数编写与应用、Stateflow有限状态机、虚拟现实工具箱等中高级使用方法，最后还介绍了半实物仿真技术与实时控制技术。(Simulink as the main tool to introduce a system simulation methods and techniques, including continuous systems, discrete systems, stochastic input system and the simulation of complex systems. Introduce a sound module packaging technology, power system module set, non-linear system design blockset, S-function of the preparation and application, Stateflow finite state machine, virtual reality and other high use of the toolbox, and finally also introduce a semi-physical simulation technology and real-time control technology.)

说明：  偏最小二乘算法在MATLAB中的实现，直接将文件拷贝至matlab文件夹下，即可使用。详细使用方法见代码本身(Partial least-squares algorithm in MATLAB in the realization of a file copy directly to the matlab folder, you can use. See detailed use of the code itself)

通过粒子群算法快速解决旅行商问题,其中还可以自己设置参数，学习因子，惯性权重等。(Through particle swarm algorithm quickly solve traveling salesman problem, which can still parameters, the learning factor, self-adapting inertia, etc. )

level set for image segmentation by Chunming Li

此为《MATLAB神经网络原理》书中的开源代码，希望帮助大家共同提高。(This is the MATLAB neural network theory, the book s source code, I hope to help everyone together.)

主要用MATLAB对图像惊进行处理，对图像进行滤波器处理 给出滤波前后的图形很有实用(Main MATLAB to image surprised processing, the image filter processing are before and after the graphics are filter practical)

3D Wave equation Model forwarding by the method of pesudo-spectrum

matlab下的卡尔曼滤波器！外推方程、协方差外推公式、滤波协方差方程！(Kalman filter under matlab! Extrapolation equation, covariance extrapolation formula, the filter covariance equations!)