传统的近似三角形内点测试( APIT),即近似三角形内点测试定位算法,广泛应用于静态节点定位.结合粒子滤波提出改进算法,将APIT算法推广到节点动态定位.-Traditional approximate point inside the triangle test (APIT), namely the approximate point within the triangle test positioning algorithm, widely used in the static node l

针对现有改进和声搜索算法(IHS) 的不足，提出一种自适应和声粒子群搜索算法(AHSPSO).-For the purpose of avoiding the disadvantage of improved harmony search (IHS) algorithm, an adaptive harmony search-particle swarm optimization (AHSPSO) algorithm is presented.

fcm-svm模型，用来处理连续型数据的拟合预测建模，想用SOM算法将连续性数据离散化，paosvm为改进的粒子群优化SVM参数的算法。数据可根据自己的进行替换-fcm-svm model fit to handle continuous data, predictive modeling, would like to use SOM algorithm continuity discrete data, paosvm of improved particle swarm optimizatio