搜索资源列表
MATLAB-Neural-network-cases
- 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。-Neural network cases
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.
GA-SVM
- 由于遗传算法具有隐含的并行性和强大的全局搜索能力,可以在很短的时间内搜索到全局最优点。使用GA对SVM进行参数的优化,寻找最优的惩罚因子和SVM中RBF参数的组合。结合RBF参数r和惩罚因子C, 可以得到需要优化的参数组合。希望对大家有用!-Genetic algorithm with implicit parallelism and powerful global search capability, you can search within a very short period of t
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
9656565
- 一种新的基于遗传算法的模糊C-均值聚类的RBF神经网络-A New RBF Neural Network with GA-based Fuzzy C-Means Clustering Algorithm for SINS Fault Diagnosis
543218
- 同步控制方法结合RBF神经网络和遗传算法 - networked Synchronization Control Method by the Combination of RBF Neural Network and Genetic Algorithm
GPS-Height-
- 基于遗传算法的RBF神经网络在GPS高程拟合中的应用-Genetic Algorithm and RBF Neural Network in GPS Height Fitting Based