搜索资源列表
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
GA-a-PSOPBP
- 遗传算法及粒子群算法优化的BP神经网络，用于多输入多输出的神经网络预测模型-GA and PSO optimized BP neural network. Can be used for ANN prediction models with multiple inputs and outputs
JAVA_BP_GA_PSO
- JAVA开发的BP算法,GA算法,以及PSO算法源程序-JAVA development of BP algorithm, GA algorithm and PSO algorithm source code
GA-to-RBF
- GA to RBF 神经网络，遗传算法，滤波器，MATLAB-GA to RBF neural networks, genetic algorithms, filters, MATLAB
MATLAB_ANN_30
- 30个例程，非常好用，带有bp，GA，PSO等多种常见算法和模型，别看小，保证是全的-30 routines, very easy to use, with bp, GA, PSO and other common algorithms and models, do not look small, guaranteed to be full of
yichuansuanfa
- 遗传算法优化BP神经网络、改进的模糊C-均值聚类、遗传算法（粒子群算法、人工鱼群算法等）的投影寻踪模型等遗传算法的简单集合。-Genetic algorithm to optimize the BP neural network, an improved fuzzy C- average clustering and genetic algorithm,(particle swarm optimization (pso), artificial fish algorithm, etc.) of
hybrid-of-GA-and-PSO
- 混合粒子群算法训练BP神经网络（实验数据包含在内）-A hybrid algorithm is based on particle swarm optimization and it is used in training back propagation neural network (source code)
GA-PSO-BPnn.pdf
- 基于GA-PSO-BP组合的神经网络应用研究，有需要请下载。-Application of Neural Network GA-PSO-BP portfolio based on the need to download.
daimayasuo
- 包含：基于蚁群算法求解对称非对称旅行商问题 粒子群优化算法演示(PSO) 基于遗传算法(GA)的多变量旅行商问题(TSP) 遗传算法优化BP 神经网络在数据预测方面的应用 金融数量分析相关代码-Comprising: Solving Symmetric Asymmetric Traveling Salesman Problem Based on Ant Colony Algorithm Particle Swarm Optimization Demo (PSO) Mult
To-predict
- matlab预测程序集合，适用于数学建模大赛，直接数据导入就可以用。包括灰色模型预测程序2个，gm10，greymodel，高斯混合模型mixture_of_gaussians，以及BP神经网络优化模型，遗传算法优化，Genetic，粒子群算法优化，PSO-Matlab to predict collection, suitable for mathematical modeling contest, data import can use directly. Including gray mo
38430124GA_BP-pso_bp
- 这是一种遗传算法和BP网络结合的算法，粒子群和BP网络，这两种算法进行结果比对。(This is a genetic algorithm and BP network combination algorithm, particle swarm and BP network, the two algorithms for results comparison.)
PSO-BP和GA-BP
- 分别使用PSO和GA优化BP神经网络的参数，用于非线性函数拟合(PSO and GA are used to optimize the parameters of the BP neural network for nonlinear function fitting)
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
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
GA & PSO+BP
- 遗传算法与粒子群算法优化BP，有较好的分类效果(BP optimization based on Genetic Algorithm and particle swarm optimization)
GA-BP及PSO-BP
- 主要是通过GA和PSO的全局搜索能力，用于改进BP网络的权值阈值(It is mainly used to improve the weight threshold of BP network)
GA-BP; BP神经网络各种案例，BSO天牛群，CEEMD分解，EMD工具箱，PSO优化，rBAS,LSTM各种实际案例
- GA-BP; BP神经网络各种案例，BSO天牛群，CEEMD分解，EMD工具箱，PSO优化，rBAS,LSTM各种实际案例，代码基于matlab和python