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
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
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
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
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.
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.
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.
QPSO_RBF
- 采用一种量子粒子群算法来对RBF网络进行优化-Using a quantum particle swarm algorithm to optimize the RBF network
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
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
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
Optimize-the-RBF-Network
- 使用粒子群算法、遗传算法优化RBF径向基神经网络的matlab程序-Using particle swarm algorithm, genetic algorithm to optimize the RBF RBF neural network matlab program
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
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
PSORBF
- 采用粒子群优化算法优化RBF神经网络的参数-Using particle swarm optimization algorithm to optimize the parameters of RBF neural network
pso-GA
- 粒子群算法MATLAB代码、遗传算法优化RBF径向基神经网络MATLAB程序-Particle swarm algorithm MATLAB code, genetic algorithm optimization RBF RBF neural network MATLAB program
PSO-RBF
- 粒子群优化算法智能优化RBF神经网络~~~~~~~~~~~~~(Intelligent optimization, BP neural network)
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)
MATAB神经网络30个案例分析
- 该PDF共有30个MATLAB神经网络的案例，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。本PDF作为本科毕业设计、研究生项日设计、博士低年级课题设计参考书籍，同时对广大科研人员也有很高的参考价值。(The PDF has a total of 30 MATLAB in the case of neural networks, including BP, RBF, SVM
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.)