搜索资源列表
GA_RBF
- 利用遗传算法优化RBF神经网络的结构,包括优化权值、高斯基的中心和宽度
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
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
rengongzhineng
- 简介的神经网络和人工智能。并用径向基函数神经网络实现了某函数,以及MATLAB仿真遗传算法MATLAB仿真-Introduction of the neural network and artificial intelligence. And RBF neural network to achieve a certain function, as well as genetic algorithm MATLAB simulation MATLAB simulation
GA-bp
- 基于遗传算法的bp神经网络优化程序,经测试好用,有很好的应用价值-Bp based on genetic algorithm neural network optimization program, tested easy to use, there is a good value
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
GASARBF
- 遗传算法+RBF神经网络源程序! -Genetic algorithm+RBF neural network source code! Genetic algorithm+RBF neural network source code!
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
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.
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
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
GA-for-RBF
- 设计了一个进化神经网络模型,用遗传算法优化RBF网络的连接权和网络结构- U8BB u2B1 u4E1 u4E00 u4E00 u4E2 u7281 u7R0 U63A5 u6743 u548C u7F51 u7EDC u7ED3 u6784
RBF-k均值聚类
- RBF(径向基神经网络)网络是一种重要的神经网络,RBF网络的训练分为两步,第一步是通过聚类算法得到初始的权值,第二步是根据训练数据训练网络的权值。RBF权值的初始聚类方法较为复杂,比较简单的有K均值聚类,复杂的有遗传聚类,蚁群聚类等,这个RBF网络的程序是基于K均值聚类的RBF代码。(RBF (radial basis function network) is an important neural network. The training of RBF network is divided
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)