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pso
- 粒子群优化算法对BP神经网络的优化。可实现对BP的数据的寻优。-Particle Swarm Optimization BP neural network optimization. BP data optimization
zhinengTSP
- TSP的matlab神经网络解法，包括遗传算法、粒子群算法 、鱼群算法、模拟退火法程序，程序有注释-The TSP Matlab intelligent solution, including genetic algorithm, particle swarm optimization, fish school algorithm, simulated annealing procedures, procedures comment
Maltab-modeling-
- Maltab 源码\在数学建模中的应用、人口预测模型、灰色预测及其MATLAB实现、遗传算法、粒子群算法、模拟退火算法、人工神经网络、小波分析、动态仿真-matlab mathematic modeling
the-mathematical-modeling-algorithm
- 各种最优化算法介绍，包括遗传算法、粒子群算法、模拟退火算法、人工神经网络、小波分析、动态仿真、数值模拟等-Various optimization algorithms, including genetic algorithm, particle swarm optimization, simulated annealing algorithm, artificial neural network, wavelet analysis, dynamic simulation, numerical
intelligentalgorithm
- 智能算法：神经网络，极限学习机，遗传算法，粒子群算法，蚁群算法，鱼群算法，人工免疫算法-Intelligent algorithms: neural networks, Extreme Learning Machine, genetic algorithm, particle swarm optimization, ant colony algorithm, fish swarm algorithm, artificial immune algorithm
neuralnetwork
- 神经网络的经典应用，小波神经网络、离散神经网络、模糊神经网络、遗传算法、粒子群优化-Classic application of neural networks, wavelet neural network, discrete neural networks, fuzzy neural networks, genetic algorithms, particle swarm optimization
Genetic-algorithm-optimization
- 遗传算法优化B P神经网络的目的是通过遗传算法得到更好的网络初始权值和阈值, 其 基本思想就是用个体代表网络的初始权值和阈值、 个体值初始化的B P神经网络的预测误差作为该个体的适应度值, 通过选择、 交叉、 变异操作寻找最优个体, 即最优的B P神经网络初始权值。除了遗传算法之外, 还可以采用粒子群算法、 蚁群算法等优化B P神经网络初始权值。-Genetic algorithm to optimize BP neural network is designed by means of g
psobp
- 这是粒子群算法PSO与BP神经网络相结合的程序，调试通过的，具有通用性。-This is the particle swarm optimization PSO combined with BP neural network program, debug, and versatility.
Matlab-PSO-is-applied-to-neuralnet
- 粒子群优化算法（PSO）应用于神经网络优化程序。分为无隐含层、一隐含层、二隐含层。运行DemoTrainPSO.m即可-Particle Swarm Optimization (PSO) used neural network optimization program. Divided into no hidden layer, a hidden layer, two hidden layers. You can run DemoTrainPSO.m
NN
- 智能算法30案例 包括遗传算法、神经网络、粒子群、模拟退火等-Intelligent algorithm of 30 cases including genetic algorithms, neural network, particle swarm optimization, simulated annealing
psobpbijiao
- 本例是采用粒子群优化神经网络权值，以前下的希望能有用。-PSO neural networks under the previous
GAPSOPBP
- 用GA和粒子群算法优化BP神经网络的程序，优化前与优化后的比较-With GA and particle swarm optimization BP neural network program, optimizing the comparison before and after optimization
psobpdiagnosis
- 利用粒子群算法优化BP神经网络的权值，将训练好的神经网络用于故障诊断中，进行模式识别，比BP神经网络收敛快-Utilizing particle swarm optimization BP neural network weights, the trained neural network for fault diagnosis, pattern recognition, neural network converges faster than the BP
PSOTool
- 求解非线性方程组方法有经典算法以及近年来流行的遗传算法．牛顿法及其改进形式,但是此类算法的收敛性在很大程度上依赖于初始点的选择，对于某些非线性方程组容易导致求解失败 为了克服经典算法的缺点，设计了求解非线性方程组的混合遗传算法,但依然对方程组和编码方法有很高要求。PSO是受到鸟群或者鱼群社会行为的启发而形成的一种基于种群的随机优化技术。它是一类随机全局优化技术，通过粒子间的相互作用发现复杂搜索空间中的最优区域。该算法是一种基于群体智能的新型演化计算技术，具有简单易实现、设置参数少、全局优化能力强
PSO-BP
- PSO粒子群算法改进的BP神经网络，更改文件位置后即可使用-PSO PSO improved BP neural network can be used to change the file location
bp_pso
- 粒子群算法（PSO）优化BP神经网络，用来进行非线性的校正，效果良好-Particle swarm optimization (PSO) to optimize BP neural network, used for non-linear correction, to good effect
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
eg26-jizhixunyou
- 《MATLAB神经网络30个案例分析》中的第26个例子，案例26 粒子群算法的寻优算法-非线性函数极值寻优。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of 26 example, 26 cases of particle swarm algorithm optimization extreme - nonlinear function optimization algorithm. Hope to have certa
PSORBF
- 采用粒子群优化算法优化RBF神经网络的参数-Using particle swarm optimization algorithm to optimize the parameters of RBF neural network
PSO
- 基于粒子群的神经网络优化算法的应用，在土壤水分特征曲线中的应用。-Neural network based on particle swarm optimization algorithm applied in the soil moisture characteristic curve application.