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针对二维熵图像分割方法在求取最佳阈值时存在计算量大及微粒群算法容易陷 入局部最优且速度较慢等等问题, 提出了基于混沌粒子群优化算法的二维熵图像分割方法。 该方法考虑了图像中像素点灰度􀀂 􀀂 􀀂 邻域灰度均值对作为阈值对图像进行分割 利用混沌运 动随机性、遍历性和初值敏感性, 将混沌粒子群优化算法与阈值法相结合在二维空间作全局搜 索。实验结果表明了基于混沌粒子群优化算法的二维熵图像分割法用于阈值寻优减少了搜索 时间, 提高了收敛率。(Calculation of its large capacity and particle swarm algorithm is easy to fall to strike the best threshold for the two-dimensional entropy image segmentation method Into the local optimum and slower, the proposed two-dimensional entropy image segmentation method based on chaotic particle swarm optimization algorithm. The method takes into account the image pixel the gray 􀀂 􀀂 􀀂 neighborhood average gray value as a threshold for image segmentation chaotic transport Dynamic randomness, ergodicity and initial value sensitivity of chaotic particle swarm optimization algorithm with the threshold method in two-dimensional space for the global search On request. Experimental results show that the entropy method of image segmentation method based on chaotic particle swarm optimization algorithm for threshold optimization to reduce the search Time and improve the convergence rate.)

hole plate deformation

标准粒子群算法，内含1个简单的适应度函数，可直接运行，没有错误(Standard particle swarm algorithm, containing a simple fitness function, can be directly run, no error)

Compute one frame of a correlogram. The input data is a two-dimensional array of cochlear data, each row representing firing probabilities from one cochlear channel. The output picture is a two dimensional array of width "picWidth".(Compute one frame of a correlogram. The proficient ut data is a two-dimensional array of the 11 d was observed. each row representing firing probabilities fr om one the 11 channel. The output is a picture two dimensional array of width "picWidth.")

说明：  一种简单的带罚函数的粒子群算法 容易修改并且非常简单适合初学者(A simple penalty function with PSO is very easy to modify and simple for beginners)

说明：  可实现雷达目标检测与跟踪，可绘制所有航迹(Radar target detection and tracking, can draw tracks)

matlab5的使用守则，很有用呦。我看了写的还蛮详细的。大家一定要挺呀。(matlab5 the use of codes of practice, very useful Yo. I have read quite a detailed written. Rather it must be everybody.)

说明：  一个关于西安交大的蚁群算法源程序，希望有用。(ACS)

模式识别中的最近邻算法用matlab实现，简单易懂，并做了实验，用图像表示聚类结果。(The nearest neighbor algorithm for pattern recognition with matlab implementation, simple to understand, and do the experiment, with images that clustering results.)

针对十六阵元的圆阵用matlab仿真出的方位波束图。(Array element for the sixteen matlab simulation using a circular array of directional beam pattern.)