搜索资源列表
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
grnnforexample
- 广义回归神经网络是RBF的一个扩展。但是具体怎么实现却代码很少，本代码是一个grnn很好的学习例子。-Generalized regression neural network is an extension of RBF. But how to achieve specific code but rarely, the code is a good learning example grnn.
my_liziqun_RBF
- RBF神经网络，PSO优化和GA优化对比的径向基神经网络-PSO&GA
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.
GA-to-RBF
- GA to RBF 神经网络，遗传算法，滤波器，MATLAB-GA to RBF neural networks, genetic algorithms, filters, MATLAB
GA-RBF
- 用遗传算法优化RBF神经网络，我自己用matlab写的，希望对大家有用。-Using genetic algorithms to optimize the RBF neural network, using matlab to write my own, I hope useful.
RBF-based-on-GA
- 基于遗传算法的RBF神经网络matlab源程序-Based on Genetic Algorithm and RBF Neural Network
dastebandi
- Design a feedforward network is u dehaze algorithms review path planning using GA and ACO... The neural network adaboost stron TS neural network m files, fast c bp neural network, written with C Bayes net and memory based learni
estekhraj-vijegi
- Design a feedforward network is u dehaze algorithms review path planning using GA and ACO... The neural network adaboost stron TS neural network m files, fast c bp neural network, written with C Bayes net and memory based learni
RBF-based-on-GA
- 基于GA的RBF神经网络优化算法，可以进行学习参考-Seven good RBF MATLAB simulation program, beginners can learn reference
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
code
- 用遗传算法GA优化RBF神经网络，对柴油机进行故障诊断(Optimization RBF neural network using genetic algorithm GA, diesel engine troubleshooting)
神经网络入门13课源码
- 神经网络入门13课源码 第一课 MATLAB入门基础 第二课 MATLAB进阶与提高 第三课 BP神经网络 第四课 RBF、GRNN和PNN神经网络 第五课 竞争神经网络与SOM神经网络 第六课 支持向量机( Support Vector Machine, SVM ) 第七课 极限学习机( Extreme Learning Machine, ELM ) 第八课 决策树与随机森林 第九课 遗传算法( Genetic Algorithm, GA ) 第十课 粒子群优化( Part