搜索资源列表
PSO
- 用粒子群算法优化RBF网络权值，根据适应度值对个体最优和群体最优进行更新-Particle Swarm Optimization with RBF network weights, according to the best fitness value of individuals and groups to update the best
PSA_RBF
- 一个粒子群算法、遗传算法优化RBF径向基神经网络源代码,可直接使用。-A particle swarm optimization, genetic algorithm optimization RBF Radial Basis Function neural network source code, can be used directly.
QPSO_RBF
- 采用一种量子粒子群算法来对RBF网络进行优化-Using a quantum particle swarm algorithm to optimize the RBF network
PSO-optimize-RBF
- 用粒子群算法优化rbf神经网络算法的源程序-Using the particle swarm optimization algorithm to optimize the neural network algorithm
Optimize-the-RBF-Network
- 使用粒子群算法、遗传算法优化RBF径向基神经网络的matlab程序-Using particle swarm algorithm, genetic algorithm to optimize the RBF RBF neural network matlab program
Particle-swarm-optimization-
- 粒子群算法、遗传算法优化RBF径向基神经网络-Particle swarm optimization, genetic algorithm optimization RBF RBF neural network
pso-GA
- 粒子群算法MATLAB代码、遗传算法优化RBF径向基神经网络MATLAB程序-Particle swarm algorithm MATLAB code, genetic algorithm optimization RBF RBF neural network MATLAB program
粒子群算法优化RBF网络
- 粒子群算法优化RBF网络的matab程序(Particle swarm optimization RBF network MATAB program)
MATAB神经网络30个案例分析
- 该PDF共有30个MATLAB神经网络的案例，包括BP、RBF、SVM、SOM、Hopfield、LVQ、Elman、小波等神经网络；还包含PSO(粒子群)、灰色神经网络、模糊网络、概率神经网络、遗传算法优化等内容。本PDF作为本科毕业设计、研究生项日设计、博士低年级课题设计参考书籍，同时对广大科研人员也有很高的参考价值。(The PDF has a total of 30 MATLAB in the case of neural networks, including BP, RBF, SVM