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基本蚁群算法解TSP问题[matlab程序，大家参考(basic ACO for TSP [Matlab procedures, reference)

it a matlab scource code to simulate sfdma

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这是个统计模式识别工具箱，是各种统计模式识别算法用matlab语言的实现。(The Statistical Pattern Recognition Toolbox is a collection of pattern recognition (PR) methods implemented in Matlab.)

粒子群优化算法（PSO）应用于神经网络优化程序。分为无隐含层、一隐含层、二隐含层。运行DemoTrainPSO.m即可(Particle Swarm Optimization (PSO) used neural network optimization program. Divided into no hidden layer, a hidden layer, two hidden layers. You can run DemoTrainPSO.m)

检测从键盘输入字符。用到了fiugre的 currentcharacter 属性，figure还有一个 currentkey 属性。这两个属性都能检测键盘输入，不过还是有不小区别，可以试一下。(Detection input from the keyboard characters. Use of the fiugre' s ' currentcharacter' property, figure there is a ' currentkey' property. These two properties can be detected keyboard input, but there are still no small difference, you can try.)

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

it contains many classic Test Problems for Unconstrained Optimization such as camel6,treccani,goldstein,branin, shubert1,Ackley,dejong,dejong1,dejong2, dpower,rastrigin,Griewangk,Schwefel, rosenbrock2 and step. the package have the contour and mesh figures of these problem. it also give m files of these problems,and you can easily get your view of figures.(it contains many classic for Test Problems Unconstrained Optimization such as camel6. treccani, goldstein, branin, shubert1, Ackley. dejong, dejong1, dejong2, dpower, rastrigin. Griewangk, Schwefel. rosenbrock2 and step. the package have the cont our mesh and figures of these problem. it also gi ve m files of these problems. and you can easily get your view of figures.)

故障诊断的源码，基于matlab，包括时域频域，细化普，倒频谱等(Zoom Spectrum program)

一段用于数据分类，分级的费舍尔判别分析算法，MATLAB代码(A Fisher discriminant analysis algorithm for data classification and classification, MATLAB code)