搜索资源列表
GARBF
- 遗传算法优化RBF神经网络，GA-RBF，有对比-Genetic algorithm to optimize the RBF neural network, GA-RBF, compared
PSOGARBF
- 基本粒子群优化算法 遗传算法，基于聚类，梯度，最小二乘法的RBF网络程序等5个代码-Elementary particle swarm optimization algorithm genetic algorithm, based on clustering, gradient, least-squares method of RBF network program such as 5 code
GA_RBF
- 基于遗传算法的RBF神经网络matlab源程序-RBF-based neural network genetic algorithm matlab source
ann-and-ga-in-heat-verse-conduction
- 神经网络和遗传算法在热传导逆问题中应用，本文分别用BP网络、RBF网络和GA求解了一维导热反问题，分别用BP网络和GA求 解了二维导热反问题， -Neural networks and genetic algorithms in the application of the inverse problem of heat conduction
30-case-studies
- MATLAB神经网络30个案例分析__读者调用案例的时候，只要把案例中的数据换成自己需要处理的数据，即可实现自己想要的网络。该书共有30个MATLAB神经网络的案例(含可运行程序），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。-30 case studies of the MATLAB Neural Network __ readers call the case, as
GARBF
- 采用遗传算法优化了RBF神经网络，以权重为引子的适应度函数。-Genetic algorithm is used to optimize RBF neural network weights, with reference to the fitness function.
RBF1
- 粒子群算法、遗传算法优化的RBF神经网络程序-Particle swarm optimization, genetic algorithm optimization on RBF neural network program
GImpprovedSVVe
- 将遗传算法(GA)与传统SVM算法结合，构造出一种参数最优的进化SVM(GA2SVM)，SVM 模型使用径向基函数(RBF))作为核函数，运用格雷码编码方式对SVM算法的模型参数进行遗传编码与优化搜索，，将搜索到的优化结果作为SVM 的最终模型参数。 -Genetic algorithm (GA) combined with the traditional SVM algorithm to construct a parameter of the evolution of the optim
PPSO_GA_RRBFa
- 粒子群算法、遗传算法优化RBBF径向基神经网络。可直接使用。 -Particle swarm optimization, genetic algorithm optimization the RBBF RBF neural network. Can be used directly.
GAPRBF
- 采用遗传算法优化RBF神经网络，并用于非线性系统辨识。-Genetic algorithm to optimize the RBF neural network, and for the identification of nonlinear systems.
GAPfuzzyRBF
- 采用遗传算法对模糊RBF神经网络进行优化，并用于非线性系统辨识。-The genetic algorithm optimized fuzzy RBF neural network for nonlinear system identification.
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
chap10
- 使用RBF网络逼近y(k)=u(k)^3+y(k-1)/1+y(k-1)^2,遗传算法优化程序chap10_3a.m,RBF网络逼近函数子程序chap10_3b.m和chap10_3c.m-Using RBF network approximation y (k) = u (k) ^ 3+y (k-1)/1+y (k-1) ^ 2, genetic algorithm optimization procedures chap10_3a.m, RBF network approximation f
GARBF
- 利用GA（遗传算法）对RBF的参数进行优化，提高预测精度，误差降低，训练速度加快。-The use of GA (genetic algorithm) to optimize the parameters for the RBF, improve forecast accuracy, error reduction, training speed.
psogarbf
- 在函数逼近应用中，使用粒子群、遗传算法优化的rbf神经网络进行比较-In the applications of function approximation, using particle swarm optimization genetic algorithm of RBF neural network is used in the comparison
GA0
- 这是一段遗传算法训练RBF网络的matlab程序，大家可以下载参考。-This is a genetic algorithm for training RBF network program, you can download the reference.
GA_RBF
- 遗传优化RBF采用遗传算法对传统RBF网络进行优化-RBF genetic optimization using genetic algorithms to optimize the traditional RBF network
GA_RBF
- GA，即遗传算法；RBF，径向基函数神经网络。本程序介绍了通过遗传算法来优化RBF神经网络的参数值，从而达到更好的进行模式识别。-GA, namely genetic algorithms RBF, radial basis function neural networks. This procedure describes the parameters to optimize the RBF neural networks by genetic algorithms to achieve b
kmeans1
- k均值聚类优化径向基网络中心，遗传算法优化权值，然后用网络进行函数拟合，真实可用-k means clustering for optimizing the center of RBF,GA is used for optimizing the weights.
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 RBF RBF neural network