搜索资源列表
PSOGABPDRNN.rar
- 此包含有遗传算法、粒子群算法、BP算法优化对角递归神经网络的MATLAB程序,This includes genetic algorithms, particle swarm optimization, BP algorithm for diagonal recurrent neural network of the MATLAB program
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
pso_wavelet
- 小波神经网络模型,采用粒子群算法优化,包含单输入、多输入-Wavelet neural network model, using particle swarm optimization, including single-input, multiple-input
GA_BP-pso_bp
- 遗传算法与神经网络混合的算法程序、粒子群优化与神经网络混合的算法程序,可以进行算法结果的比较-Genetic algorithm and neural network algorithm for mixed procedures, particle swarm optimization and neural network algorithm for mixed procedures, can be the result of comparison algorithm
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.
pso
- pso(粒子群算法)优化神经网络 MATLAB的m 文件
modern_youhua
- 现代最优化算法(有170多页的PPT,2010年的) 分为三个部分 Part 1 概论 Part 2 模拟退火算法 Part 3 遗传算法 现在常用的优化算法 禁忌搜索算法 模拟退火算法 遗传算法 人工神经网络 蚁群算法 粒子群算法 混合算法-Modern optimization algorithm is divided into three parts Part 1 Part 2 Introduction Part 3 simul
psonn
- 粒子群算法优化神经网络,神经网络为传统的多层感知器。-pso optimizes neural networks. the neural networks are multilayer percetrons.
Parrecasting
- 混沌粒子群算法的神经网络短时交通流预测Particle swarm optimization based on chaotic neural network short-term traffic flow forecasting-Particle swarm optimization based on chaotic neural network short-term traffic flow forecasting
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
粒子群PID
- 该代码为基于pso算法优化的PID神经网络的系统控制算法(The code is based on the PSO algorithm optimized PID neural network system control algorithm)
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
粒子群算法源代码
- 改进的粒子群算法,与遗传算法,神经网络,模拟退火等算法相结合(An improved particle swarm optimization algorithm combined with genetic algorithm, neural network, simulated annealing algorithm and so on)
粒子群神经网络仿真股票分析包
- 粒子群神经网络仿真股票分析包,可以直接拿来利用,只要输入股票的相关数据,即可仿真出相应的结果。(The PSO neural network simulation of the stock analysis package can be used directly. As long as the related data of the stock are input, the corresponding results can be simulated.)
神经网络 粒子群
- 通过神经网络去拟合数据,用粒子群去优化参数(The neural network is used to fit the data and the particle swarm optimization is used to optimize the parameters)
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.)
基于神经网络的智能微电网多目标优化算法
- 智能微电网中利用粒子群算法实现微电网多目标优化(Multi-objective optimization of microgrid based on Particle Swarm Optimization in smart microgrid)
粒子群优化算法优化BP神经网络的源代码
- 粒子群优化算法优化BP神经网络的源代码,基础的值得参考下(Particle swarm optimization algorithm to optimize the source code of BP neural network)
基于粒子群和BP神经网络的混合优化策略算法
- 改进粒子群算法,比较完整,自己收集的,可以运行(Improved particle swarm optimization)
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