资源列表
5bhtm_5d_c___neural_networks_and_fuzzy_logic
- Neural Networks tutorial.
Peking_University_PSO_All_in_one
- 北京大学计算智能研究室几位计算智能教授的辛苦结晶，包含粒子群算法源代码，PPT文档说明，十五个典型的测试函数，算法注释详尽，简明扼要，是难得的粒子群算法学习材料-Institute of Computational Intelligence Computational Intelligence Research Laboratory Professor of several hard crystal that contains the source code for Particle Swarm
Matlabrbf
- MATLAB 下的很好的 RBF优化程序-RBF well under MATLAB optimizer
1
- 关于rbf神经网络实现图像分类的IEEE英文文献 和大家一起分享-A Technique for the Selection of Kernel-Function
DeJongTestFunctions
- De Jong 测试函数及源代码 -De Jong test functions and the source code
UV5
- 基于MATLAB语言开发的人工神经网络 效果还可以，大家试用-ANN
BP
- matlab BP网络测试和训练都在里面-matlab BP network testing and training both inside
improveBPNet
- 改进的BP算法实现程序，以共轭梯度法实现BP神经网络。测试数据以txt格式给出。-Improved BP algorithm procedures in order to conjugate gradient method to achieve BP neural network. Test data given in txt format.
NormalBPNet
- 用Delphi实现的标准BP神经网络算法，测试数据以txt文件给出，在文件夹下有。-Delphi to achieve with the standard BP neural network algorithm, the test data to txt file are given in the folder under.
Libsvm2.32
- libsvm的是一个简单，易于使用和高效的软件的SVM 分类与回归。它可以解决ç - SVM分类， 努SVM分类，一类支持向量机，ε- SVM的回归， 和Nu - SVM的回归。本文件解释了libsvm的使用。-Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It can solve C-SVM classification,
flowercloud
- 基于人工智能中的云模型，运用正态云发生器的正向生成和逆向生成，完成花卉信息的提取和重构-Based on artificial intelligence in the cloud model, using normal cloud generator generates the positive and reverse generation, complete flowers information extraction and reconfiguration
Som_clustering
- 基于VC++的Som聚类算法程序。SOM是一种通过自组织竞争学习网络实现数据的分类和降维可视化神经网络模型。内附算法的原理说明以及详细的程序调用说明及运算结果。是初学者的很好的入门材料-Based on VC++ program of Som clustering algorithm. SOM is a competitive learning through self-organizing network for data classification and dimensionality r