搜索资源列表
LinWPSO
- 权重改进的粒子群算法（线性递减权重法），让惯性权重从最大值线性减小到最小值-Weights to improve particle swarm optimization (linear decreasing weight method), so that inertia weight decreases linearly from maximum to minimum
psofcm
- 自己编写的基于惯性权重线性递减策略的粒子群算法优化聚类-My own particle swarm optimization algorithm based on the linear decreasing inertia weight strategy applied to cluster.
LinWPSO
- 权重改进的粒子群算法（线性递减权重法），让惯性权重从最大值线性减小到最小值(Weights to improve particle swarm optimization (linear decreasing weight method), so that inertia weight decreases linearly from maximum to minimum)
PSO-BP
- 粒子群算法优化BP神经网络，在传统PSO算法的基础上增加了惯性权重，并且线性递减策略改变。(Particle Swarm Optimization (BP) algorithm optimizes BP neural network, and inertia weights are added based on traditional PSO algorithm, and linear decreasing strategy chang
粒子群算法
- 用改进的粒子群算法对基于非对角MAC矩阵元素均值最小目标函数为目标函数，以简支梁前三阶模态振型为原始数据对简支梁进行传感器优化布置。(The objective function based on the average minimum objective function of the non-diagonal MAC matrix elements is studied by the improved particle swarm
pso
- 粒子群算法的源代码，包括线性递减惯性权重的改进代码(Source code of particle swarm optimization, including improved code of linear decreasing inertia weight)