搜索资源列表
pso-bp
- 粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现
PSO-RBF-wonderful
- 很详细的粒子群优化径向基神经网络的例子。-Very detailed examples of particle swarm optimization RBF neural network
pso-bp-wonderful
- 很详尽的粒子群优化BP神经网络的例子，能用-Very detailed examples of particle swarm optimization (BP) neural network, can be used
BP-curve-in-MATLAB
- 该压缩包包含神经网络在MATLAB里的应用： 1、非线性函数拟合 2、RBF网络-非线性函数回归 3、粒子群算法非线性极值寻优 4、神经网络极值寻优 5、神经网络建模自变量降维 6、BP网络-非线性函数回归-The archive contains neural network in MATLAB: 1, non-linear function fitting 2, RBF network- 3 nonlinear function regression, nonline
BP-liziqun
- 基于粒子群优化算法的BP人工神经网络算法代码，使用matlab实现-Particle swarm optimization based on BP artificial neural network algorithm code, using matlab implementation
pso
- 本程序是用粒子群算法优化神经网络算法的MATLAB源程序-This MATLAB procedure is to use particle swarm algorithm to optimize neural network algorithm
wsddq
- 基于粒子群算法优化的BP神经网络，可用于数据预测和分析，实用性很强。-Particle swarm optimization based on BP neural network can be used to predict and analyze the data, very practical.
waveletpsoann_longchuan
- 可以用于预测的小波分解下的粒子群算法的神经网络预测-wavelet pso ann for predict
PSO-BPprediction
- 利用粒子群算法和BP神经网络算法进行用电负荷的预测-prediction using partical swarm option and BP algorithm
PSO-BPmatlabkexing
- 一个利用粒子群优化算法训练BP神经网络的程序，在matlab环境中，代码简便可行。-A particle swarm optimization algorithm is used to train the BP neural network program, in the MATLAB environment, the code is simple and feasible.
PSOBP
- 包含两个部分：1传统粒子群算法优化BP神经网络 2改进的粒子群算法优化BP神经网络源代码-It consists of two parts: a traditional particle swarm optimization BP neural network 2 Improved particle swarm optimization BP neural network source code
PSONN
- 利用粒子群算法训练的神经网络和经典BP神经网络matlab源程序-Using particle swarm algorithm trained neural network and classic BP neural network matlab source.
pso_pengjinhui
- 粒子群优化算法源程序，广泛应用于PID参数整定，神经网络优化，交通物流分析等等。-PSO algorithm source, widely used PID parameter tuning, neural network optimization, traffic flow analysis and so on.
PSO-bp
- 粒子群优化BP神经网络，代码通俗易懂，学习一下-PSO Optimize BP neural network, the code easy to understand
PSO_GA_RBF
- 粒子群算法、遗传算法优化RBF径向基神经网络-Particle swarm optimization, genetic algorithm optimization RBF RBF neural network
matlab
- 很全的智能算法，包括粒子群算法、模拟退火算法、遗传算法、TSP问题求解、蚁群算法、人工神经网络算法以及相关结合算法-A full of intelligent algorithm, including the particle swarm algorithm, simulated annealing algorithm, genetic algorithm, the TSP problem, ant colony algorithm, and the combination of artific
PSOBP1
- 改进粒子群算法优化BP神经网络的权值，建立BP神经网络-Improved PSO algorithm optimizes the weights of BPneural networks to establish the neural networks.
PSO-BP
- 用粒子群优化法对BP神经网络的权值和阈值进行优化，提高神经网络运行精度。-Using particle swarm optimization method for weights and threshold of BP neural network optimization, improve precision of the neural network operation.
matlab
- matlab智能算法程序例子，例子中详细介绍了神经网络法遗传算法粒子群算法等解决寻优问题-Examples of intelligent algorithm matlab program, described in detail in the example neural network genetic algorithm particle swarm algorithm to solve the optimization problem
BPQPSOBP
- 主要针对级联式变频器故障特征比较难提取，运用小波分析提取故障特征，然后用粒子群优化神经网络进行故障诊断-Mainly for the cascading inverter and difficult to extract the fault features, using wavelet analysis to extract the fault feature, and then use particle swarm optimization neural network for fault