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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
pso_ga_RBF_network
- 用MATLAB语言编写的，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-Written by MATLAB, using the particle swarm algorithm to RBF neural network parameters were optimized, validated in the test program through the Particle Swarm 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.
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.
rengongzhineng
- 里面包含粒子群算法，蚁群算法，ga，rbf等基本人工智能算法，结构简单运行快，是很好的优化智能算法-Particle Swarm Optimization Algorithm
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
RON
- 基于资源优化网络的RBF网络设计，达到精简网络结构，提高网络泛化能力。 -RBF network based on the resource optimization of network design to simplify the network structure, improve the network generalization ability.
MyPso
- 粒子群优化算法，对于RBF神经网络的优化，实现最优策略-Particle swarm optimization algorithm, to the optimization of RBF neural network, the realization of the optimal strategy
PSO
- 基于粒子群优化的RBF神经网络的预测，主要用于趋势的预测。-Predict particle swarm optimization based on RBF neural network, mainly for trend forecasts.
BPnet
- 混沌时间序列测试用BP RBF网络含有简单的优化- Chaotic time series tests with BP RBF network with simple optimization
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.
GA_RBF
- 利用遗传算法对RBF（径向基）神经网络的中心值和宽度进行优化。实现效果比较好，能够高精度的实现非线性逼近。-Using genetic algorithm to optimize the center value and width of RBF (radial basis) neural network. The realization effect is better, and the nonlinear approximation can be achieved with high acc
MATLAB-network
- MATLAB 神经网络源代码，包括BP网络、RBF网络、模糊神经网络、小波神经网络、PSO群优化等共43个网络源代码，并有实际案例-MATLAB neural network source code, including BP network, RBF network, fuzzy neural network, wavelet neural network, PSO Swarm Optimization, a total of 43 network source code, and there
chapter6
- 基于RBF网络的优化逼近,《MATLAB智能算法超级学习手册》-Based on Optimized RBF network approximation, " MATLAB algorithm super intelligent learning Handbook"
RBFandYCSF
- 实现遗传算法优化径向基圣经网络结构的参数-Realization of genetic algorithm to optimize RBF network structure of the bible parameters