搜索资源列表
NHibernate-2.1.2.GA-src
- 三层源码 NHibernate-2.1.2.GA- NHibernate-2.1.2.GA
GA-BP
- BP和GA的联合算法程序，大家喜欢的话，可以下载，共同学习！-BP and GA combined algorithm program you like, you can download, learn together!
Adapting-GA
- 多目标遗传算法优化PID参数,是M文件。内容很详细，有需要的可以下载-this is matlab file ,it is for adpation GA for PID
Hybrid-GA-PSO-Code
- Hybrid GA & PSO Algorithm Run the file MainHGAPSO
GA-BPANN
- 经过遗传算法优化的BP神经网络程序GA-BPA-After a genetic algorithm BP neural network program GA-BPANN
based-on-GA-solve--VRP
- 求解多目标车辆路径问题的遗传算法的小文章-based on GA solve the mutil-objects problem with the help of time window
GA
- 利用最基本的遗传算法解决多目标函数优化问题-using GA algorithm to solve multiobject optimization
GA-k-means
- GA-k-means算法 基于遗传算法的k_means聚类方法的研究(33-48)-GA-k-means algorithm
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
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
bp-ga
- 改进bp-ga算法，确定权值和阈值，组合导航系统故障诊断bp-ga算法-Improved algorithm for bp-ga
GA
- optimal pid control design for a plant using GA. Here ISE is taken as objective function
Hibernate-Core-3.3.2.GA-API
- Hibernate 3.3.2的chm格式的开发文档-Hibernate Core 3.3.2.GA API
GA
- 遗传算法MATLAB工具箱及其应用实例。-GA algorithm toolbox & instance
cross-GA
- 在遗传算法中算法程序及其中染色体交叉部分操作的部分代码参考(the cross-over operation in GA)
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)
GA优化BP权阈值
- 遗传算法优化BP权值，这是关于基本GA算法和改进GA算法的程序，包括循序选择GA，大变异GA，自适应GA等(Genetic algorithm optimization BP weights, which is about the basic GA algorithm and improved GA algorithm procedures, including sequential selection of GA, big varia
GA-BP代码
- 利用GA遗传算法优化BP神经网络，有理论介绍，有实例(BP neural network optimization using GA genetic algorithm, a theoretical introduction, there are examples)
GA
- 运用GA算法开展连续优化问题，是一种常用的智能优化算法(Using GA algorithm to carry out continuous optimization problem)
GA-BP神经网络应用实例之MATLAB程序
- 使用MATLAB编写的GA-BP神经网络，可进行多组数据处理 % gap.xls中存储训练样本的原始输入数据 37组 % gat.xls中存储训练样本的原始输出数据 37组 % p_test.xls中存储测试样本的原始输入数据 12组 % t_test.xls中存储测试样本的原始输出数据 12组(MATLAB implementation of the GA-BP neural network,% gap.xls stored