资源列表
stochastic_neuralnetworks
- 随机神经网络传播法的matlab算法，写的很详细，对初学者有很大的帮助 -matlab code for stochastic_network neuralnetworks,detail and helpful to freshman
hist_corner
- 基于直方图的关键点检测,包括测试数据图像，可用于图像应用处理-the histogram-based interest point detectors
AS_GA_PSO
- 遗传算法解决最小生成树问题，PURFER编码。 粒子群算法做无约束最优化问题。 蚁群算法解决TSP问题。-Genetic algorithm (ga) to solve minimum spanning tree problem, PURFER encoding.Particle swarm algorithm for unconstrained optimization problems.Ant colony algorithm to solve TSP problem.
GA1
- 标准的遗传算法，算法简单实用。运行速度快，移植性强。-Genetic algorithm source code
libsvm-python
- LIBSVM的Python语言实验，可以进行分类实验-LIBSVM the Python language experiments, experiments can be classified
libsvm-windows
- libsvm库的C语言实验，已经生成dll文件-libsvm C language library experiments have generated dll file
svm-toy
- libsvm嵌入式实验，包括qt,gtk等-libsvm embedded experiments, including qt, gtk, etc.
Neural-network-
- 神经网络的实现及应用，外加功能实现的程序说明-Neural network application test and application
6043code
- 人工鱼群在机器人路径规划中的应用，代码清晰可靠，完全正确，非常实用的资料-Artificial fish robot path planning application, the code clear and reliable, exactly right, very practical information
AFSA-2015.7
- 人工鱼群算法及其应用源码，经测试成功运行。可对照《人工鱼群算法及其应用》学习。-Fish (Swarm Algorithm AFSA, Artificial) is a kind of swarm intelligence bionic energy optimization algorithm, which is proposed by Dr. Li Xiaolei in 2002. The algorithm gives the artificial fish vision, smell,
afsa(han-yue-shu--
- AFSA, containing the adaptive factor, afsa，含有自适应因子，用于含约束优化问题；经过测试，运行效果很好。 -AFSA, containing the adaptive factor, used to contain constrained optimization problem after testing, the effect is very good.
gm11
- 标准gm(1,1)模型， 程序名称:gm11.m GM(1,1)模型 程序功能:利用GM(1,1)模型进行预测。 程序编写:mongvi@126.com 开发指导:刘思峰教授 程序发布:南京航空航天大学灰色系统研究所 演示数据1,刘思峰教授等著《灰色系统理论及其应用》第四版(p98): X0=[2.874 3.278 3.337 3.390 3.679] 演示数据2,刘思峰教授等著《灰色系统理论及其应用》第四版(p103): X0=[6 2