资源列表
GA_RBF
- 遗传算法优化BRF神经网络的matlab程序，可直接用于预测。-Genetic algorithm optimization BRF neural network matlab program can be directly used to predict.
cTSP
- c++语言实现基于遗传算法的TSP问题，是学习遗传编程的很好的例子-c++ language implementation of the TSP problem based on genetic algorithms, genetic programming to learn a good example of
mopso
- 智能微粒群学习算法，可用于分类及特征优化等等。该算法实现过程简单，清晰。-Intelligent Particle Swarm learning algorithm can be used to optimize the classification and characteristics and so on. Implementation process of the algorithm is simple and clear.
matlabneuralnetwork
- MATLAB中神经网络工具箱的使用说明文档-MATLAB neural network toolbox in the instructions for use
tiqu
- 汉字笔迹的笔划提取 很有 用的， 学习学习-good
7
- 神经网络BP算法的C语言实现--三层神经元网络，人工神经网络的BP基本算法的C语言实现-BP neural network algorithm for C-language implementation- three-layer neural networks, artificial neural networks, BP algorithm is the basic C-language implementation
BPprogram
- 用c语言实现bp神经网络，用bp神经网络解决了异或问题-Use C to construct BP neural network, use BP neural network to deal with the problem of xor
featureselection
- feature seletion的几篇英文论文 采用pso等进化算法实现特征选取
bys
- 采用贝叶斯正则化算法提高BP网络的推广能力。在本例中，将采用两种训练方法，即L-M优化算法（trainlm)和贝叶斯正则化算法（trainbr),用以训练BP网络，使其能够拟合某一附加有白噪声的正弦样本数据。-The use of Bayesian regularization algorithm for BP network to improve generalization ability. In this case, two types of training methods will b
Games
- Bayes分类器——算法设计 1． 使用决策树(Decision tree)分类算法、朴素贝叶斯（Naï ve Bayes）算法或者K-近邻（kNN）算法（三者任选其一）对给定的训练数据集构造分类器，并在测试数据集上进行分类预测。 2． 数据集描述： Tic-tac-toe游戏的二叉分类。Tic-tac-toe游戏示例如下-Bayes classifier- Algorithm 1. Using the decision tree (Decision tree) classi
GAjulei
- 该程序通过遗传算法对图像进行聚类分析，并实现了图像的分类功能，分类效果明显较其他算法好-The genetic algorithm procedure for cluster analysis of the images and to achieve the classification of image features, the classification results significantly better than the other algorithms
NB
- NB算法,可以帮助理解此算法，数据来自UCI-NB algorithm，just for learning!