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_bp
- PSO训练BP网络的matlab代码，下载后，加入输入输出样本即可运行。-PSO trained BP network matlab code, download, add input and output samples can be run.
psobp
- 粒子群算法PSO优化BP神经网络的MATLAB代码 -PSO Particle Swarm Optimization of BP Neural Network MATLAB code
GA-BPNN
- 传统遗传算法优化BP网络的权值和阀值，获得较好的收敛性-GA,BP
PSO_BP
- pso优化BP，非常实用，具有较好的预测能力-pso optimal BP，Very practical, with good predictability
BPPSOSA
- matlab中基于模拟退火法的粒子群BP神经网络计算程序-matlab simulated annealing method based on BP neural network computing PSO program
MATLABsource
- 利用PSO算法优化BP神经网络的MATLAB源码，绝对优良的源码-PSO algorithm to optimize the use of BP neural network, MATLAB source code, source code is absolutely fine
psobp
- 用粒子群优化算法（pso）来优化bp神经网络的参数的matlab程序-pso bp matlab code
5618626PSO-bp-MATLAB
- PSO-bp-MATLAB 5435654yhtr
07670278pso
- PSO-bp-MATLAB 4565467yty
PSO-RBF
- 利用改进粒子群训练bp神经网络的matlab程序\利用改进粒子群训练RBF神经网络的-Improved Particle Swarm training bp neural network matlab program \ using improved particle swarm training RBF
PPSO-bp-MATLAS
- 利用PSO训练BP神经网络的的MATLAB源码可直接使用。 -MATLAB source PSO training BP neural network can be used directly.
Ipso
- 本文将 改进的PSO优化算法与 BP网络算法相结合, 完全 基于BP网络算法的基本思想, 是在基本 BP算法的误 差反向传播调整权值的基础上, 再引入 PSO 算法进行 权值修正, 是严格意义上的基于 PSO的 BP网络算法.-pso programming for improved bp neural network
PSO-bp
- BP神经网络的MATLAB程序代码,可用于分类，鉴别-Back-propagation neural network
PSO-BP
- pos pb matlab 粒子群优化的人工神经网络-pos pb matlab
pso-bp.tar
- 基于粒子群算法优化BP神经网络参数的matlab程序，极大地提高了预测精度。-Based on particle swarm optimization BP neural network parameters matlab program, which greatly improved the prediction accuracy.
PSO优化BP神经网络 MATLAB版本2016a
- PSO优化BP神经网络 MATLAB版本2016a PSO优化BP神经网络的权值和阈值 有详尽的注释 并结合2016a的新版本函数特性，优化了算法(PSO optimization BP neural network MATLAB version 2016a PSO optimization BP neural network weights and thresholds Detailed comments and combined with the 2016a new version of t
pso_bp软土路基沉降
- 用pso对bp神经网络进行优化，对软土路基进行沉降预测(Using PSO to optimize BP neural network to predict the settlement of soft soil subgrade)
matlabprogram
- 智能优化算法及其MATLAB仿真实例，包括进化类算法，群智能算法，模拟退火算法，禁忌搜索算法，神经网络算法等程序源码(Intelligent optimization algorithm and MATLAB simulation examples, including evolutionary algorithm, swarm intelligence algorithm, simulated annealing algorithm, tabu search algorithm, neural
程序
- 粒子群算法优化的BP神经网络与传统BP神经网络对比(Comparison between BP neural network optimized by particle swarm optimization and traditional BP neural network)