搜索资源列表
NN-PSO
- 粒子群优化算法（PSO）应用于神经网络优化程序-Particle Swarm Optimization (PSO) algorithm used neural network optimization procedures
NN-PSO
- 粒子群优化算法（PSO）应用于神经网络优化程序-Particle Swarm Optimization (PSO) algorithm used neural network optimization procedures
pso_c+
- 这是一个pso程序源代码，pso源于对鸟群捕食行为的研究而发明的进化计算技术，属于进化算法的一种。 优点：收敛速度快，具有全局寻优能力，而且编程简单，易于推广使用。 -This is a pso source code, pso out of the flock of predatory behavior and evolutionary computation invention of the technology is an
nn-matlab_Code_
- 遗传算法初始化网络权值及其阈值参数 提高控制性能-Genetic algorithm to initialize the network weights and threshold parameters improve control performance
2rar
- 用matlab写的最近邻和K近邻法分类器，简单易懂，适合初学者-Written with matlab and K-NN nearest neighbor classifier, easy to understand for beginners
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
PSO_base_RBF
- PSO的RBFNN优化程序 算法步骤 1.样本数据归一化处理，即将输入输出归一化到[-1,1]区间； 2.确定RBF网络的中心和宽度； 3.以拟合误差的均方根作为性能指标，使用PSO算法优化RBF网络输出层到隐层的连接权值矩阵-PSO-RBFNN algorithm optimization procedures Step 1. Sample data normalization treatment, about inp
pso-nnt
- 粒子群算法优化nn神经网络，为优化神经网络参数提供新的思路-Particle Swarm Optimization nn neural networks, to provide new ideas for optimizing neural network parameters
pso-nn
- 用PSO算法优化神经网络的一个程序，可以实现的。只需要改改数据就好了-Using PSO algorithm to optimize neural network, a program can be implemented. You just need to change the data
Matlab-GP-nn-algorithmic-optimize
- 在Matlab中PSO算法可用于BP神经网络的网络权值优化,PSO算法比传统的BP神经网络采用误差反向传播来调整网络连接权值可以有更大的空间内搜索的优势。-The PSO calculate way can be used for the network power of BP nerve network to be worth in Matlab excellent turn, the PSO calculate way is mor
PSO-to-Optimize-BP-NN-procedure
- 在Matlab中PSO算法可用于BP神经网络的网络权值优化,PSO算法比传统的BP神经网络采用误差反向传播来调整网络连接权值可以有更大的空间内搜索的优势。-The PSO calculate way can be used for the network power of BP nerve network to be worth in Matlab excellent turn, the PSO calculate way is mor
psort-in-matlab
- The following Matlab project contains the source code and Matlab examples used for neural network add in for psort. This add-in to the PSO Research toolbox (Evers 2009) aims to allow an artificial neural network (ANN or