搜索资源列表
gao-pso-rbf
- 利用GA算法来优化RBF网络中的各种权值
pso
- 使用matlab编写的蚁群算法程序，供大家参考使用。-Matlab using ant colony algorithm to prepare procedures for U.S. use and reference.
65520786PSOt
- 旅行商问题的 pso解决方案-Traveling Salesman Problem PSO solution
pso
- 改进的pso算法：引入变异算子，保持了种群的多样性，并提高了算法的全局搜索能力。-Improved PSO algorithm: the introduction of mutation operator to maintain the diversity of the population and improve the algorithm
PSO_file
- 有关用粒子群算法ＰＳＯ优化ＲＢＦ网络参数的资料，有一定参考价值-In connection with the Particle Swarm Optimization PSO information RBF network parameters, has a certain reference value
PSO.pdf
- pso program 附录1、标准微粒群算法源程序 附录2、随机微粒群算法程序-pso program in Appendix 1, the standard PSO algorithm source code in Appendix 2, a random particle swarm optimization process
PSO
- 改进的pso算法（3个m文件和一个说明文件）： 本算法实现Clerc and Kennedy 2002年对pso算法的重要改进-Improved PSO algorithm (3 m documents and a note): This algorithm Clerc and Kennedy 2002 years, the importance of improved PSO algorithm
PSO_constrian
- PSO算法求解带约束优化问题，包含所有源程序和运算图片。写论文是编的。-PSO algorithm for solving constrained optimization problems, including all source code and the computing picture. Writing papers is made of.
PSO
- 这是粒子群优化算法的实现，求解多模态函数非常使用-This is the Particle Swarm Optimization algorithm to solve multi-modal function is the use of
Optimization_of_RBF_Network
- Matlab粒子群算法优化RBF网络 采用了粒子群算法对RBF神经网络中的参数进行了优化，在测试程序中验证了经过粒子群算法优化的RBF神经网络的函数逼近能力比未经过优化的逼近能力强-Matlab PSO RBF network optimization using particle swarm optimization on RBF neural network parameters are optimized, in the te
RBF-Matlab
- 三个改进的径向基网络的matlab源程序-RBF
my_liziqun_RBF
- RBF神经网络，PSO优化和GA优化对比的径向基神经网络-PSO&GA
PSO_base_RBF
- PSO的RBFNN优化程序 算法步骤 1.样本数据归一化处理，即将输入输出归一化到[-1,1]区间； 2.确定RBF网络的中心和宽度； 3.以拟合误差的均方根作为性能指标，使用PSO算法优化RBF网络输出层到隐层的连接权值矩阵-PSO-RBFNN algorithm optimization procedures Step 1. Sample data normalization treatment, about inp
PSO-RBF
- PSO 算法与RBF神经网络算法的结合,有一定借鉴价值-PSO algorithm and the combination of RBF neural network algorithm, there is a certain reference value to
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
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
PSO-RBF
- 总结常见的RBF网络算法，包括多个例子，亲测可运行。有kmeans-rbf, pso-rbf等方法的实现。-RBF algorithms including several example codes, the kmeans-rbf, pso-rbf etc. I test them all.
PSO-RBF
- 粒子群优化算法智能优化RBF神经网络~~~~~~~~~~~~~(Intelligent optimization, BP neural network)
PSO-rbf-kmeans
- pso rbf k-means simulik with matlab(programme d'un pso en hybride avec un rbf)