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
ga-RBF.rar
- 基于遗传算法对rbf神经网络的径向基宽度进行优化的matlab程序,Based on genetic algorithm rbf radial basis neural network to optimize the width of the matlab program
garbf
- 遗传算法优化RBF径向基神经网络的matlab程序源代码。-Genetic Algorithm RBF radial basis function neural network matlab source code.
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
GA_RBF
- 用遗传算法优化RBF网络参数,减小RBF网络在函数逼近中的误差-Using genetic algorithm to optimize parameters of RBF network, reducing the RBF Network in Function Approximation Error
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 test procedures and verified thr
geneticalgrithmoptimizeRBF
- matlab源码，运用遗传算法 优化RBF隐层神经元的中心值，宽度，和权值，具有很强的学习性。-matlab source code, the use of genetic algorithm optimization of RBF hidden layer neurons in the central value, width, and weight, has a strong learning.
PSO_GA_RBF
- 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 of RBF Radial Basis Function Neural Networks.
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 input and output normalized to [-
psoRBF
- 粒子群优化算法优化RBF神经网络程序，可用在模式分类等方面-Particle swarm optimization algorithm optimization RBF neural network program can be used in pattern classification, etc.
ga-rbf
- 一种递归算法优化RBF网络的文献,可以借鉴-A HierarchicalGeneticAlgorithm based RBF Neural Network Approach for Modelling of
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.
GA-RBF
- １.利用GA算法优化RBFＮＮ的各种权值； ２.利用RBFNN进行函数跟踪； 3.比较测试未用GA优化的和使用GA优化的RBFNN的结果。-1.Use GA algorithm to optimize a variety of weights in RBFNN 2. Use RBFNN to realize tracking function 3. Compare and test the results of using GA and not using GA.
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
GA-RBF
- 自适应遗传算法优化RBF神经网络，粒子群算法优化RBF神经网络仿真结果比较。程序可直接运行-Adaptive genetic algorithm to optimize the RBF neural networks, particle swarm optimization on RBF neural network simulation results compared. Program can be run directly
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)
遗传算法优化RBF神经网络
- 遗传算法优化RBF神经网络逼近非线性函数，具有较好的效果(Genetic algorithm, optimization, RBF neural network, approximation)
RBF网络遗传算法优化程序
- RBF网络遗传算法优化程序,很好的程序，希望大家可以学习(It is ga_RBF,it is very nice and easy to use)
遗传算法优化RBF
- 可以实现以下功能：遗传算法优化RBF，GA-RBF(it is used to achieve the goal of GA-RBF)
粒子群算法优化RBF网络
- 粒子群算法优化RBF网络，有相关解释，matlab源码！可以跑通(Particle swarm optimization RBF network, there are relevant explanations, matlab source code! You can run through.)