TVP_FAVAR

在大学生或者研究生数学建模竞赛中旅行商优化问题是一个很重要而又难解决的问题，本人自编程蚁群算法智能程序很好的解决此问题。(University students or graduate students in the Mathematical Contest in Modeling in the traveling salesman optimization problem is a very important and difficult to resolve the problem, I self-programming smart procedures ant colony algorithm to solve this problem very well.)

说明：  电力负荷的混沌预测方法 电力负荷的方法很多~~本文是基于混沌(Chaos power load forecasting method)

包括了粒子滤波，无忌卡尔曼粒子滤波，以及他们的之间的比较！！(Including the particle filter loudly Kalman particle filter, and compare them between! !)

说明：  这是数模比赛里面的多雷达多目标数据融合代码，希望对大家有用~~(This is the Multi-radar data fusion multi-target code of Mathematical Model Competition,Hope to be useful~)

交通分布中的无约束重力模型，matlab程序(A matlab program of unconstrained gravity model in traffic distribution.)

MATLAB N个实用技巧--MATLAB中文论坛精华总结(it is useful for new learner )

we present an improved fuzzy C-means (FCM) algorithm for image segmentation by introducing a tradeoff weighted fuzzy factor and a kernel metric. The tradeoff weighted fuzzy factor depends on the space distance of all neighboring pixels and their gray-level difference simultaneously. By using this factor, the new algorithm can accurately estimate the damping extent of neighboring pixels. In order to further enhance its robustness to noise and outliers, we introduce a kernel distance measure to its objective function. The new algorithm adaptively determines the kernel parameter by using a fast bandwidth selection rule based on the distance variance of all data points in the collection. Furthermore, the tradeoff weighted fuzzy factor and the kernel distance measure are both parameter free. Experimental results on synthetic and real images show that the new algorithm is effective and efficient, and is relatively independent of this type of noise.

HERE ITS A CODE FOR CONNECTED COMPONENT OF ANY IMAGE IN MATLAB

近似熵是一种衡量衡量非线性时间序列复杂性的非线性动力学分析方法，其物理意义 为熵值越大，时间序列的自我相似性越低，序 列越复杂，反之序列自我相似性越高；并且样 本熵对于序列长度依赖弱，仅需较短的数据就 能够得到稳健的熵值，同时其计算不需对数据 粗粒化，具有较好的抗干扰能力 (Approximate entropy is a measure to measure the complex nonlinear dynamics of nonlinear time series analysis method, the physical meaning of entropy value is larger, the lower the self-similarity of the time series, the more complex the sequence, whereas sequence of self-similarity the higher and the sample entropy weak dependence for the length of the sequence, only shorter data can be healthy entropy value, calculated without data coarse-grained, with good anti-jamming capability)

Robotics toolbox for matlab